| WUSS |
2026 |
Demystifying Regression Analysis Techniques with R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
|
35 |
| WUSS |
2026 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| PharmaSUG |
2026 |
Regression Analysis Made Easy Using R |
Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao |
source |
32 |
| PHUSE US |
2026 |
Is There Really Any Benefit to Stratified Randomisation in Practice? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? |
Pavankumar Bhagat |
source
presentation source |
9 |
| SESUG |
2025 |
Enrollment Projections Application: Empowering Data-Driven Enrollment Strategies |
Raj Bhosale |
|
6 |
| SESUG |
2025 |
Modernizing Predictive Modeling in SAS: When to Move Beyond PROC GLM |
Duha Khan,
Sriya Venkat,
Sydney McDermott |
|
8 |
| SESUG |
2025 |
Navigating Model Choice in SAS: A Case-Based Decision-Support Framework for PROC REG, GLM, GENMOD, and MIXED |
Sriya Venkat |
|
10 |
| SESUG |
2025 |
The Missing Piece |
Cali M. Davis |
|
17 |
| MWSUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| MWSUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| SESUG |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
7 |
| SESUG |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| SESUG |
2024 |
Using SAS In Analyzing Trends in Corn Yields, Surface Temperature, and Precipitation in U.S. South Atlantic Census Division States |
Abdullah Khan |
source |
31 |
| WUSS |
2024 |
Analyzing Goalkeeper Impact in Premier League Football |
Alec Troy Christiansen,
Benjamin T Houser |
source |
10 |
| WUSS |
2024 |
Charting Your Organization's Machine Learning Roadmap |
Ryan Paul Lafler |
source |
6 |
| WUSS |
2024 |
Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| WUSS |
2024 |
Multiple Imputation in Interim Analyses [presentation] |
Bill Coar |
source |
29 |
| WUSS |
2024 |
Regression Analysis Made Easy Using SAS Studio |
Zheyuan (Walter) Yu |
source |
42 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li,
Deli Cao |
source |
20 |
| PharmaSUG |
2024 |
Multiple Logistic Regression Analysis using Backward Selection Process on Objective Response Data with SAS |
Girish Kankipati,
Jai Deep Mittapalli |
source |
9 |
| PharmaSUG |
2024 |
Replicating SAS Procedures in R with the PROCS Package |
David J. Bosak |
source |
10 |
| PharmaSUG |
2024 |
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
18 |
| PHUSE US |
2024 |
Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? |
Pradeep Acharya,
Ephicacy Lifescience |
source
presentation source |
9 |
| PHUSE US |
2024 |
Spline Analysis to Understand the Non-linear Relationship in Clinical Research |
Anwaya Joshi |
source
presentation source |
9 |
| WUSS |
2023 |
Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics |
Colleen E. McGahan |
source |
15 |
| WUSS |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang |
source |
43 |
| WUSS |
2023 |
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
24 |
| SESUG |
2023 |
Empowering Decision-Making: Predictive Analytics Integration with SAS and Python in a Higher Education Setup |
Vindhya Hegde |
source |
8 |
| SESUG |
2023 |
Regression Analysis Made Easy Using SAS Studio |
Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang |
source |
43 |
| SESUG |
2023 |
The Best of Both Worlds: Analytics with SAS Viya and Python |
Peter Styliadis |
source |
63 |
| SESUG |
2023 |
Translating Common Data Visualizations from PROC SGPLOT to ggplot2 |
Austin R. Brown |
source |
11 |
| PharmaSUG |
2023 |
Guidelines for the Statistical Analysis in German Dossier Submissions |
Meiling Gao,
Xi Qian,
Hui Mao |
source |
8 |
| PharmaSUG |
2023 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
16 |
| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
David J. Corliss |
source |
12 |
| WUSS |
2022 |
Customizable SAS Graphs for Bias Analysis |
Natasha Oza,
Jesse Albert Canchola |
source |
26 |
| PharmaSUG |
2022 |
Estimating Differences in Probabilities (Marginal Effects) with Confidence Interval |
Jun Ke,
Kelly Chao,
Corey Evans |
source |
4 |
| PharmaSUG |
2022 |
Potential features analysis affect Covid-19 spread |
Yida Bao,
Philippe Gaillard |
source |
11 |
| SESUG |
2021 |
Tips for Customizing Graphs Using Real Coronavirus Testing Data |
Dennis J. Beal |
source |
7 |
| PharmaSUG |
2021 |
Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses |
Girish Kankipati,
Jai Deep Mittapalli |
source |
20 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2021 |
Bayesian Analysis of GLMMs Using PROC BGLIMM |
Walter W. Stroup |
source
pdf |
25 |
| SGF |
2021 |
Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression |
Steven C. Myers |
source
presentation
sas |
39 |
| SGF |
2021 |
Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last |
George S. Habek,
Suman Kumar Das |
source
presentation |
24 |
| SESUG |
2020 |
Outlier Detection and Treatment |
Ross Bettinger |
source |
29 |
| SGF |
2020 |
%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building |
David R. Nelson,
Siew Wong-Jacobson |
source |
20 |
| SGF |
2020 |
A Survey of Methods in Variable Selection and Penalized Regression |
Yingwei Wang |
source |
17 |
| SGF |
2020 |
Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt |
Alex Chaplin |
source |
16 |
| SGF |
2020 |
Economic Impacts of Sea Level Rise on Coastal Real Estate |
Austin Willoughby |
source |
9 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
Show Me the Money! Preparing Economics Students for Data Science Careers |
Steven C. Myers |
source |
19 |
| SGF |
2020 |
Simulating Time Series Analysis Using SAS - Part II Cointegration [presentation] |
Ismail E. Mohamed |
source |
24 |
| SGF |
2020 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| PharmaSUG |
2020 |
You Are Using PROC GLM Too Much (and What You Should Be Using Instead) |
Peter L. Flom,
Deanna Naomi Schreiber-Gregory |
source |
15 |
| PHUSE US |
2020 |
The Importance of General Linear Models (GLMs) in Clinical Research |
Ritesh Dhimmar,
Venkata Ikkurthy |
source |
12 |
| PHUSE EU |
2019 |
Sub-population Detection Using Graph-based Machine Learning |
Sergey Glushakov,
Kostiantyn Drach |
source |
28 |
| PHUSE EU |
2019 |
Symbolic Regression: Survival of the Best Fit |
Hector Leitch |
source
presentation source |
9 |
| SESUG |
2019 |
Advanced Statistical Modeling within Machine Learning and Big Data Analytics |
Niloofar Ramezani,
George Mason |
source |
16 |
| SESUG |
2019 |
Intervention at the Library: Assessing the Effect of an Event |
David A. Dickey,
John Vickery |
source |
19 |
| SESUG |
2019 |
Old But Not Obsolete: Undocumented Procedures for SAS University Edition |
Barbara B. Okerson,
Independent Contractor |
source |
11 |
| SESUG |
2019 |
Probability Plots for Exploratory Data Analysis |
Dennis J. Beal,
Oak Ridge |
source |
8 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SESUG |
2019 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| SCSUG |
2019 |
Do you know when your data is lying to you? The HOW of Regression Analysis with Quantitative and Qualitative Variables |
Steven C. Myers |
source |
20 |
| SCSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
source |
28 |
| MWSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
|
28 |
| MWSUG |
2019 |
Logistic Regression, Basics and Beyond |
Bruce S. Lund |
|
35 |
| MWSUG |
2019 |
Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro |
Katelyn Ware,
Rachel Baxter |
|
13 |
| WUSS |
2019 |
A strategy for speed Dating |
YuTing Tian |
source |
21 |
| WUSS |
2019 |
Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS |
Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja |
source |
10 |
| WUSS |
2019 |
General, Age-Specific, and Total Fertility Rates in Montana, 2008-2017 |
Matthew Ringel |
source |
7 |
| WUSS |
2019 |
Polynomial Regression for Modeling Curvilinear Data: A Biological Example |
Elisha Johnston |
source |
20 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| SGF |
2019 |
Analyzing Restricted Mean Survival Time Using SAS/STAT |
Changbin Guo,
So Ying |
source |
21 |
| SGF |
2019 |
Conducting Tests in Multivariate Regression |
Chii-Dean Joey Lin |
source |
13 |
| SGF |
2019 |
Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis |
Charlotte Baker |
source |
16 |
| SGF |
2019 |
Integrating SAS, Apache Hadoop and an Enterprise Data Warehouse in a Single Solution [presentation] |
Bob Matsey |
source |
17 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2019 |
SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software |
Phil Gibbs,
Randy Tobias |
source |
18 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SGF |
2019 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| SESUG |
2018 |
A Beginner's Babblefish: Basic Skills for Translation Between R and SAS |
Sarah Woodruff |
source |
19 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| SESUG |
2018 |
Password Protection of SAS Enterprise Guide Projects |
Thomas E. Billings |
source |
7 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| SESUG |
2018 |
Using the R interface in SAS to Call R Functions and Transfer Data |
Bruce F. Gilsen |
source |
17 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
23 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Machine Learning - Why we should know it and how it works |
Kevin Lee |
source |
8 |
| WUSS |
2018 |
Password Protection of SAS Enterprise Guide Projects |
Thomas E. Billings |
source |
7 |
| WUSS |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| WUSS |
2018 |
Using Net Lift Measure to Model the Effects of Changes in Interest Rates on Mortgage Prepayment |
Alec Zhixiao Lin,
Xiao Hu |
source |
15 |
| PharmaSUG |
2018 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| PharmaSUG |
2018 |
Machine Learning - Why we should know and How it works |
Kevin Lee |
source |
8 |
| PharmaSUG |
2018 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2018 |
Analytics of Things: New Analytical Models for Creating Business Value from IoT Data |
Ryan Gillespie |
source |
11 |
| SGF |
2018 |
Demystify Income Models with Advanced Machine Learning Techniques for Ultimate Accuracy |
Vickey Chang |
source |
18 |
| SGF |
2018 |
Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures |
Gerhard Svolba |
source |
26 |
| SGF |
2018 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| SGF |
2018 |
Just Enough SAS Cloud Analytic Services: CAS Actions for SAS Visual Analytics Report Developers |
Michael Drutar |
source |
14 |
| SGF |
2018 |
Model-Based Fiber Network Expansion Using SAS Enterprise Miner and SAS Visual Analytics |
Nishant Sharma |
source |
5 |
| SGF |
2018 |
Penalized Variable Selection and Quantile Regression in SAS : An Overview |
Russell M. Lavery |
source |
28 |
| SGF |
2018 |
Prediction and Interpretation for Machine Learning Regression Methods |
David Richard Cutler |
source |
16 |
| SGF |
2018 |
The Life Expectancy of Phone Numbers in Escort Ads |
James Van Scotter,
Joni Shreve,
Denise J. McManus,
Miriam McGaugh |
source |
7 |
| SESUG |
2017 |
Applying Logistics Regression to Forecast Annual Organizational Retirements |
Alan Dunham |
source |
12 |
| SESUG |
2017 |
How High Will My Magikarp Jump? |
Marcus Maher,
Ipsos Public |
source |
5 |
| SESUG |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
12 |
| SESUG |
2017 |
Using Categorical Variables in Regression Analysis |
Jonas V. Bilenas |
source |
15 |
| SCSUG |
2017 |
Analysis of the effects of financial parameters on GDP and poverty using panel data analysis. |
Akshay Arora |
source |
13 |
| PHUSE EU |
2017 |
The Model Statistician Insights into Model Selection Techniques in Clinical Trials |
Peter Williams |
source
presentation source |
6 |
| MWSUG |
2017 |
AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification |
Hao Sun,
Kristen Cardinal,
Richard Voorman |
|
26 |
| MWSUG |
2017 |
Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students |
Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody |
|
22 |
| WUSS |
2017 |
Approaches in Loan and Vintage Level ROI Forecasting - A Consumer Lending Industry Perspective |
Sridhr Sankranti |
source |
8 |
| WUSS |
2017 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| WUSS |
2017 |
Multicollinearity: What Is It and What Can We Do About It? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| WUSS |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez |
source |
19 |
| PharmaSUG |
2017 |
Application of Deming Regression in Molecular Diagnostics using a SAS Macro |
Merlin Njoya,
Pari Hemyari |
source |
6 |
| SGF |
2017 |
A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression |
Sai Liu |
source
zip |
19 |
| SGF |
2017 |
Estimation Strategies Involving Pooled Survey Data |
Taylor Lewis |
source |
15 |
| SGF |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Deanna Naomi Schreiber-Gregory |
source |
12 |
| SGF |
2017 |
Need a Graphic for a Scientific Journal? No Problem! |
Charlotte Baker |
source |
14 |
| SGF |
2017 |
Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk |
Aric LaBarr |
source |
11 |
| SGF |
2017 |
SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design |
David P. MacKinnon |
source |
10 |
| SGF |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez,
Phil Gibbs |
source |
19 |
| SGF |
2017 |
The Development and Application of a Composite Score for Social Determinants of Health |
Paul A. LaBrec,
Ryan C. Butterfield |
source |
16 |
| SGF |
2017 |
Using a Dynamic Panel Estimator to Model Change in Panel Data |
Roberto Gutierrez |
source |
10 |
| SGF |
2017 |
Using Python with SAS Cloud Analytic Services |
Kevin D. Smith,
Xiangxiang Meng |
source |
23 |
| SGF |
2017 |
What Statisticians Should Know about Machine Learning |
David Richard Cutler |
source |
13 |
| SCSUG |
2016 |
Optimization of Refining Crude Distillation Process Unit using Process Simulation and Statistical Modeling Methods |
Jose Bird |
source |
18 |
| SESUG |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SESUG |
2016 |
Creating a Publication Quality Graphic with SAS |
Charlotte Baker |
source |
5 |
| SESUG |
2016 |
Enhanced Swimmer Plots: Tell More Sophisticated Graphic Stories in Oncology Studies |
Ilya Krivelevich,
Andrea Dobrindt,
Simon Lin,
Xiaomin He |
source |
9 |
| SESUG |
2016 |
How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers |
Aran Canes |
source |
8 |
| SESUG |
2016 |
Using JMP to apply Decision Trees and Random Forests as Screening Tools for Limiting Candidate Predictors in Regression Models |
Jason Brinkley |
source |
10 |
| SESUG |
2016 |
Using Regression Splines in SAS STAT Procedures |
Jonas V. Bilenas,
Nish Herat |
source |
19 |
| MWSUG |
2016 |
A Demonstration of Various Models Used in a Key Driver Analysis |
Steven M. LaLonde |
|
17 |
| MWSUG |
2016 |
An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression |
Russell M. Lavery,
Peter Flom |
|
24 |
| MWSUG |
2016 |
Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming |
Ji Qi |
|
16 |
| MWSUG |
2016 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
|
7 |
| MWSUG |
2016 |
Quantifying the relative importance of crime rate on Housing prices |
Aigul Mukanova |
|
7 |
| MWSUG |
2016 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
|
11 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| WUSS |
2016 |
Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures |
Deanna Naomi Schreiber-Gregory |
source |
14 |
| WUSS |
2016 |
How D-I-D you do that? Basic Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker,
Andrew Karter |
source |
11 |
| WUSS |
2016 |
MIghty PROC MI to the rescue! |
Cynthia Alvarez |
source |
10 |
| SGF |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
Analysis of Grades for University Students Using Administrative Data and the IRT Procedure |
Sara Armandi |
source |
13 |
| SGF |
2016 |
Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! |
Delali Agbenyegah |
source |
7 |
| SGF |
2016 |
Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software |
Denys Osipenko |
source |
20 |
| SGF |
2016 |
Custom Risk Metrics with SAS High-Performance Risk |
Katherine Taylor,
Steven Miles |
source |
6 |
| SGF |
2016 |
Customer Lifetime Value Modeling |
Vadim Pliner |
source
presentation |
4 |
| SGF |
2016 |
Ensemble Modeling: Recent Advances and Applications |
Wendy Czika,
Ye Liu |
source |
20 |
| SGF |
2016 |
Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS |
Oscar Javier Cortés Arrigui,
Miguel Angel Diaz Rodriguez |
source |
13 |
| SGF |
2016 |
Generalized Linear Models for Non-Normal Data |
Theresa H. Ngo |
source |
5 |
| SGF |
2016 |
Linear State Space Models in Retail and Hospitality |
Beth Cubbage |
source |
10 |
| SGF |
2016 |
Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs |
John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn |
source |
15 |
| SGF |
2016 |
Macroeconomic Simulation Analysis for Multi-asset Class Portfolio Returns |
Srikant Jayaraman,
Joe Burdis,
Lokesh Nagar |
source |
6 |
| SGF |
2016 |
Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women |
Ravikrishna Vijaya Kumar,
Shrie Raam Sathyanarayanan |
source |
15 |
| SGF |
2016 |
Quantitle Regression versus Ordinary Least Squares Regression |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Restricted Cubic Spline Regression: A Brief Introduction |
Ruth Croxford |
source |
5 |
| SGF |
2016 |
SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates |
Katherine Cai,
Jeffrey Wilson |
source |
9 |
| SGF |
2016 |
What's the Difference? |
David A. Dickey |
source |
17 |
| SCSUG |
2015 |
Optimization of Refining Alkylation Process Unit using Response Surface Methods |
Jose Bird,
Darryl Seillier |
source |
20 |
| MWSUG |
2015 |
Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! |
Delali Agbenyegah |
|
7 |
| MWSUG |
2015 |
SAS Software as an Essential Tool in Statistical Consulting and Research |
Erika Larsen,
Timothy E. O'Brien |
|
13 |
| SESUG |
2015 |
Adaptive Fractional Polynomial Modeling in SAS |
George J. Knafl |
source |
10 |
| SESUG |
2015 |
Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation |
Alec Zhixiao Lin |
source |
11 |
| SESUG |
2015 |
Optimizing Pilot Connection Time Using PROC REG and PROC LOGISTIC |
Andrew Hummel,
Shevawn Christian |
source |
4 |
| SESUG |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangiang Meng,
Wayne Thompson,
Jennifer Ames |
source |
12 |
| SESUG |
2015 |
PROG REG: A SAS Macro to Determine Cut Score for a Universal Pre-School Maladaptive Screener |
Fan Pan,
Yin Burgess,
Jin Liu,
Christine DiStefano |
source |
4 |
| SESUG |
2015 |
Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL |
Drew Doyle |
source |
10 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
Data Analyses in Multivariate Regression |
Chii-Dean Joey Lin |
source |
9 |
| WUSS |
2015 |
Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) |
Peter L. Flom |
source |
25 |
| WUSS |
2015 |
SAS at Los Angeles County Assessor's Office |
Anthony Liu |
source |
20 |
| SGF |
2015 |
A Genetic Algorithm for Data Reduction |
Lisa Henley |
source
zip |
7 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] |
Shrey Tandon |
source |
15 |
| SGF |
2015 |
Incorporating External Economic Scenarios into Your CCAR Stress Testing Routines |
Kenneth Sanford,
Christian Macaro |
source |
10 |
| SGF |
2015 |
Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] |
Nancy Hu |
source
zip |
12 |
| SGF |
2015 |
Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent |
Robert Feyerharm |
source |
10 |
| SGF |
2015 |
Multinomial Logistic Model for Long-Term Value |
Bruce S. Lund |
source |
16 |
| SGF |
2015 |
Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction |
Xiangxiang Meng,
Jennifer Ames,
Wayne Thompson |
source |
12 |
| SGF |
2015 |
Preparing Output from Statistical Procedures for Publication, Part 1: PROC REG to APA Format |
Vincent DelGobbo,
Peter L. Flom |
source |
27 |
| SGF |
2015 |
Sums of Squares: The Basics and a Surprise |
Sheila Barron,
Michelle Mengeling |
source |
8 |
| SGF |
2015 |
Survival Analysis with Survey Data |
Joseph C. Gardiner |
source |
17 |
| SGF |
2015 |
The bookBot Ultimatum! |
David A. Dickey,
John Vickery |
source
zip |
19 |
| SGF |
2015 |
The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT |
Denys Osipenko,
Jonathan Crook |
source |
19 |
| SGF |
2015 |
Using PROC SURVEYREG and PROC SURVEYLOGISTIC to Assess Potential Bias |
Lucy D'Agostino McGowan,
Alice Toll |
source |
8 |
| SESUG |
2014 |
Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization |
Jennifer Mann,
Jason Brinkley,
Pamela Larson |
source |
7 |
| SESUG |
2014 |
Penalizing Your Models: An Overview of the Generalized Regression Platform |
Michael Crotty,
Clay Barker |
source |
8 |
| MWSUG |
2014 |
Measuring Product-level Promotional Effectiveness using Multiple Linear Regression |
Aaron Clark,
Cory Weinmann,
Donald Kirk |
|
10 |
| MWSUG |
2014 |
Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data |
Robert G. Downer |
|
10 |
| MWSUG |
2014 |
Reporting The Facts: The ODSmemo macro suite for making reproducible RTF memos within SAS |
A. Rocio Lopez |
|
15 |
| MWSUG |
2014 |
Understanding Change through Different Methodological Lens |
Jie Liao |
|
12 |
| WUSS |
2014 |
Practice Pattern Instrumental Variables for Comparative Effectiveness |
Carol Conell,
Alexander C. Flint |
source |
15 |
| PharmaSUG |
2014 |
Survival Analysis Approaches and New Developments using SAS |
Jane Lu,
David Shen |
source |
13 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| SGF |
2014 |
A Stepwise Algorithm for Generalized Linear Mixed Models |
Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh |
source |
11 |
| SGF |
2014 |
Association of Socio-Emotional Factors: Religious Affiliation, Depression to Suicidal Tendency Among Adolescent Girls |
Sesha Sai Ega,
Chandra Shekar Pulipati,
Venkata Rachapudi |
source |
6 |
| SGF |
2014 |
Clustering and Predictive Modeling of Patient Discharge Records with SAS Enterprise Miner |
Linda Schumacher,
Goutam Chakraborty |
source |
9 |
| SGF |
2014 |
Efficiency Estimation Using a Hybrid of Data Envelopment Analysis and Linear Regression |
John Dilip Raj |
source |
7 |
| SGF |
2014 |
Healthcare Services Data Distribution, Transformation, and Model Fitting |
Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley |
source |
22 |
| SGF |
2014 |
Institutional Research: Serving University Deans and Department Heads |
Matthew Foraker |
source |
11 |
| SGF |
2014 |
Intermittent Demand Forecasting and Multi-tiered Causal Analysis |
Edward Katz |
source |
11 |
| SGF |
2014 |
Make It Possible: Create Customized Graphs with Graph Template Language |
Wen Song,
Ge Wu |
source |
6 |
| SGF |
2014 |
Measures of Fit for Logistic Regression |
Paul D. Allison |
source |
12 |
| SGF |
2014 |
Modeling Loss Given Default in SAS/STAT |
Xiao Yao,
Jonathan Crook,
Galina Andreeva |
source |
9 |
| SGF |
2014 |
Multivariate Ratio and Regression Estimators |
Alan Ricardo da Silva |
source |
13 |
| SGF |
2014 |
Nonnegative Least Squares Regression in SAS |
Matthew Duchnowski |
source |
5 |
| SGF |
2014 |
Revealing Human Mobility Behavior and Trips Prediction Based on Mobile Data Records |
Carlos Andre R. Pinheiro |
source |
14 |
| SGF |
2014 |
Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines |
Jonas V. Bilenas |
source |
11 |
| SGF |
2014 |
Scenarios Where Utilizing a Spline Model in Developing a Regression Model Is Appropriate |
Ning Huang |
source |
9 |
| SGF |
2014 |
Text Analytics: Predicting the Success of Newly Released Free Android Apps Using SAS Enterprise Miner and SAS Sentiment Analysis Studio [presentation] |
Vandana Reddy,
Chinmay Dugar |
source |
3 |
| SGF |
2014 |
The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS Visual Analytics Explorer |
Nascif Abousalh-Neto |
source |
15 |
| SGF |
2014 |
Top Seven Techniques for Creating SAS Web Applications |
Yogendra Joshi |
source |
20 |
| SGF |
2014 |
Using PROC GPLOT and PROC REG Together to Make One Great Graph |
William 'Gui' Zupko II |
source |
14 |
| WUSS |
2013 |
Simulation in SAS with Comparisons to R |
Chelsea Lofland,
Rebecca Ottesen |
source |
25 |
| WUSS |
2013 |
Tools for Imputing Missing Data |
Taylor Lewis |
source |
16 |
| SESUG |
2013 |
Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration |
Receiver Operating Characteristic |
source |
16 |
| PHUSE EU |
2013 |
Bayesian Statistics: Concept and Bayesian Capabilities in SAS |
Mark Janssens |
source
presentation source |
15 |
| MWSUG |
2013 |
Adventures in Path Analysis and Preparatory Analysis |
Brandy R. Sinco,
Phillip L. Chapman |
|
19 |
| MWSUG |
2013 |
Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling |
Mark Bailey,
Diane K. Michelson |
|
21 |
| MWSUG |
2013 |
Logistics Performance Metrics using SAS Macros |
Michael C. Frick |
|
9 |
| NESUG |
2013 |
Arrays Plus Data Step Plus Cramer's Rule = Fast Rolling Regresions |
Mark Keintz |
|
15 |
| NESUG |
2013 |
Proc SurveyCorr |
Jessica R. Hampton |
|
7 |
| PharmaSUG |
2013 |
Reliability Assessment of Image Data in Oncology and Psychology Studies |
Li Zhang,
David Shen,
Gary Chen |
source |
7 |
| SGF |
2013 |
10-Minute JMP |
George J. Hurley |
source |
11 |
| SGF |
2013 |
An Innovative Approach to Integrating SAS Macros with GIS Software Products to Produce County-Level Accuracy Assessments. |
Audra Zakzeski,
Robert Seffrin |
source |
8 |
| SGF |
2013 |
Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development |
Jonathan Wexler,
Karl Krycha |
source |
9 |
| SGF |
2013 |
Considerations and Techniques for Analyzing Domains of Complex Survey Data |
Taylor Lewis |
source |
12 |
| SGF |
2013 |
Exploring Time Series Data Properties in SAS |
Aude Pujula,
David Maradiaga,
Hector Zapata |
source |
12 |
| SGF |
2013 |
Nontemporal ARIMA Models in Statistical Research |
David J. Corliss |
source |
10 |
| SGF |
2013 |
Quantile Regression in Pharmaceutical Marketing Research |
George Mu |
source |
4 |
| SGF |
2013 |
Regression of NASCAR: Looking into Five Years of Jimmie Johnson |
Alex Herrington,
Liuchun Yang,
Yun Gao |
source |
20 |
| SGF |
2013 |
Statistical Analyses Using SAS Enterprise Guide |
Scott P. Leslie |
source |
11 |
| NESUG |
2012 |
A Macro-Driven Approach for Systematically Testing Variables Against a Base Regression Model |
Jennifer Alessandro,
Bryan Harmon |
|
7 |
| NESUG |
2012 |
Generalized Additive Models in Marketing Mix Modeling Revisited |
Patralekha Bhattacharya |
|
9 |
| NESUG |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
Maura E. Stokes |
|
22 |
| NESUG |
2012 |
Rolling Regressions with PROC FCMP and PROC REG |
Mark Keintz |
|
13 |
| NESUG |
2012 |
Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines |
Jonas V. Bilenas |
|
12 |
| NESUG |
2012 |
Using PROC FCMP to Solve Rolling Regression Rapidly |
Chao Huang,
Liang Xie |
|
4 |
| NESUG |
2012 |
Using SAS to Test, Probe and Display Interaction Effects in Regression |
Timothy Gravelle |
|
16 |
| PHUSE EU |
2012 |
Estimating Terminal Half Life by Non-Compartmental Methods with Some Data Below the Limit of Quantification |
Jochen Müller-Cohrs |
source |
6 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi,
Swapna Deshpande |
source
presentation source |
12 |
| SESUG |
2012 |
SAS macro to obtain reference values based on estimation of the lower and upper percentiles via quantile regression |
Neeta Shenvi,
Amita Manatunga |
source |
9 |
| SESUG |
2012 |
Spatial Analysis of Gastric Cancer in Costa Rica using SAS Software |
So Young Park,
Marcela Alfaro-Cordoba |
source |
8 |
| MWSUG |
2012 |
Model Selection Using Recursive Macro - Enhancements to R2 Selection in PROC REG |
Anca M Tilea,
Philip L Francis III,
Brenda W Gillespie,
Rajiv Saran |
|
10 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| MWSUG |
2012 |
Testing the Bayesian Suite of SAS Procedures using Ecological Data and Comparing Simulations with WinBUGS |
Matthew Russell |
|
8 |
| WUSS |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| PharmaSUG |
2012 |
Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG |
Sandeep Sawant |
source |
3 |
| PharmaSUG |
2012 |
Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms |
Francisco Juretig |
source |
11 |
| PharmaSUG |
2012 |
The Greatest Hits: ODS Essentials Every User Should Know |
Cynthia L. Zender |
source |
34 |
| SGF |
2012 |
Analyzing the Time Series of U.S. E-Commerce Using PROC UCM |
Anders Milhøj |
source |
11 |
| SGF |
2012 |
Black Box PROCs: PROC LOGISTIC Discovered |
Isabel H. Perry |
source |
7 |
| SGF |
2012 |
Creating Pharmacokinetic Graphs Using SAS/GRAPH |
Katrina E. Canonizado,
Matthew Murphy |
source |
8 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| SGF |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
David Kessler,
Allen McDowell |
source |
22 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles |
Ling Huang |
source |
7 |
| SGF |
2012 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
source |
8 |
| SGF |
2012 |
Wheres the LISTING Window? Using the New Results Viewer in SAS 9.3 |
Cynthia L. Zender |
source |
38 |
| SCSUG |
2011 |
An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches |
Ryan Sides |
source |
14 |
| SCSUG |
2011 |
The Greatest Hits: ODS Essentials Every User Should Know |
Cynthia L. Zender |
source |
34 |
| SESUG |
2011 |
An Exact Implicit Enumeration Algorithm for Variable Selection in Multiple Linear Regression Models Using Information Criteria |
Dennis J. Beal |
source |
12 |
| SESUG |
2011 |
Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File |
Bari Lawhorn |
source |
18 |
| SESUG |
2011 |
Scatterplots: Basics, Enhancements, Problems, and Solutions |
Peter L. Flom |
source |
12 |
| SESUG |
2011 |
Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC |
Taylor Lewis |
source |
8 |
| SESUG |
2011 |
Using PROC GPLOT and PROC REG Together to Make One Great Graph |
William 'Gui' Zupko II |
source |
14 |
| WUSS |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| WUSS |
2011 |
Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File |
Bari Lawhorn |
source |
18 |
| WUSS |
2011 |
Modeling Interactive Advertising on TiVo: Overcoming the Challenges of Collinearity, Efficiency and Practicality |
Rachel Poulsen |
source |
10 |
| WUSS |
2011 |
SAS Essentials II: Better-Looking SAS for a Better Community |
AnnMaria De Mars |
source |
17 |
| WUSS |
2011 |
SAS Essentials III: Statistics for Hamsters |
AnnMaria De Mars |
source |
18 |
| WUSS |
2011 |
SAS Macros for the Working Statistician |
William Krebs |
source |
9 |
| WUSS |
2011 |
Statistical Analyses Using SAS Enterprise Guide |
R. Scott Leslie |
source |
11 |
| WUSS |
2011 |
Why Dummy Variable Makes You SMART, and How to Do it SEXY |
Brian Sun |
source |
12 |
| MWSUG |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
|
19 |
| MWSUG |
2011 |
PROC NLMIXED for Basic Non-Linear Regression |
Keith Dunnigan |
|
12 |
| MWSUG |
2011 |
SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG |
Fang Wang,
Hee-Choon Shin |
|
27 |
| MWSUG |
2011 |
Using JMP Visualizations to Build a Statistical Model |
George J. Hurley |
|
11 |
| MWSUG |
2011 |
Using SAS to Create Sales Expectations for Everyday and Seasonal Products |
Lory Ellebracht,
Jamie Netherton,
Casey Gentry |
|
10 |
| MWSUG |
2011 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
|
8 |
| NESUG |
2011 |
Feature Selection and Dimension Reduction Techniques in SAS |
Sassoon Kosian,
Varun Aggarwal |
|
6 |
| NESUG |
2011 |
Implementing a Customer Lifetime Value Framework in SAS |
Krishna Mehta |
|
8 |
| NESUG |
2011 |
The Greatest Hits: ODS Essentials Every User Should Know |
Cynthia L. Zender |
|
34 |
| SGF |
2011 |
Lets Give Em Something to TOC About: Transforming Your.pdf Files Table of Contents |
Bari Lawhorn |
source |
18 |
| SGF |
2011 |
Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 |
Yiu-Fai Yung,
Wei Zhang |
source |
20 |
| SGF |
2011 |
MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models |
Ken Kleinman |
source |
5 |
| SGF |
2011 |
Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT and SAS Enterprise Miner 5.3 |
Iain L. Brown |
source |
11 |
| SGF |
2011 |
The Greatest Hits: ODS Essentials Every User Should Know |
Cynthia L. Zender |
source
zip |
34 |
| SGF |
2011 |
To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! |
Mustaq Ahmad |
source |
12 |
| SGF |
2011 |
Using JMP Visualizations to Build a Statistical Model |
George J. Hurley |
source |
11 |
| NESUG |
2010 |
A SAS Application to Identify and Evaluate Outliers |
Richard Hendra,
Paulette W. Staum |
|
16 |
| NESUG |
2010 |
An Exercise Using PROC SURVEYREG and NYC HANES: Examining Social Support as a Predictor of Body Mass Index in New York City |
Jackie Lee |
|
6 |
| NESUG |
2010 |
Modeling healthcare expenditures using PROC QUANTREG |
Klaus Lemke |
|
7 |
| NESUG |
2010 |
Simulating Time Series Analysis Using SAS, Part III: Error Correction Model (ECM) |
Ismail E. Mohamed |
|
7 |
| NESUG |
2010 |
The Quest for Causation: An Introduction to Correlation and Regression Analysis |
Ian Stockwell |
|
9 |
| WUSS |
2010 |
An Introduction to Statistical Tests for the SAS Programmer |
Sara Beck |
source |
10 |
| WUSS |
2010 |
Answering Your Research Questions with Inferential Statistics |
Diana D. Suhr |
source |
10 |
| WUSS |
2010 |
Dummy Coding for Dummies |
Kathryn Martin |
source |
10 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| MWSUG |
2010 |
Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio |
Douglas Thompson |
|
25 |
| MWSUG |
2010 |
Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching |
Timothy E. O'Brien |
|
13 |
| MWSUG |
2010 |
PROC LIFEREG or PROC PHREG |
Dachao Liu |
|
9 |
| SESUG |
2010 |
Sample Size Calculation to Evaluate Mediation Analysis |
Rajendra Kadel |
source |
12 |
| PharmaSUG |
2010 |
Using SAS to Compute Partial Correlation |
Jianxin Lin,
Aiming Yang,
Arvind Shah |
|
5 |
| SGF |
2010 |
Adding Statistical Functionality to the DATA Step with PROC FCMP |
Stacey M. Christian,
Jacques Rioux |
source
zip |
13 |
| SGF |
2010 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| SGF |
2010 |
SAS for Green Energy Solutions in Smart Electric Grid Systems |
Farhad Islam |
source |
10 |
| SGF |
2010 |
Using the SAS System and SAS Enterprise Miner for Data Mining: A Study of Cancer Survival at the Mayo Clinic |
Leonard Gordon |
source |
6 |
| SESUG |
2009 |
Constructing Baseline of Customer's Hourly Electric Usage in SAS |
Yuqing Xiao,
Bob Bolen,
Diane Cunningham,
Jiaying Xu |
source |
7 |
| SESUG |
2009 |
Export Customized Graphs Directly into Microsoft Word Using Dynamic Data Exchange |
Dennis J. Beal |
source |
11 |
| SESUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| PHUSE EU |
2009 |
On the use of spreadsheets for statistical analysis |
Martin Gregory |
source |
7 |
| MWSUG |
2009 |
Analysis of Emergency Room Waiting Time in SAS |
Brent Wenerstrom |
|
10 |
| MWSUG |
2009 |
Analysis of Metabolic Disorder - Gout |
Sireesha Ramoju |
|
30 |
| MWSUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
|
14 |
| MWSUG |
2009 |
Ranking Predictors in Logistic Regression |
Douglas Thompson |
|
13 |
| PNWSUG |
2009 |
Building Multiple Linear Regression Models - Food for Thought |
Colleen E. McGahan,
Mei Chong |
|
11 |
| PNWSUG |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
|
14 |
| PNWSUG |
2009 |
The 7 Habits of Highly Effective SAS-ers |
David L. Cassell |
|
17 |
| PNWSUG |
2009 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| WUSS |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| WUSS |
2009 |
Getting Correct Results from PROC REG |
Nathaniel Derby |
source |
14 |
| WUSS |
2009 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2009 |
Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada |
George C. J. Fernandez,
Moses Anabila |
source |
9 |
| WUSS |
2009 |
Validating the Bland-Altman Method of Agreement |
Ryan Fernandez,
George C. J. Fernandez |
source |
17 |
| PharmaSUG |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| SGF |
2009 |
A SAS Macro for Adaptive Regression Modeling |
George J. Knafl |
source |
9 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Interactive Outlier Review and Regression Analysis in SAS Stat Studio |
Robert Seffrin |
source |
10 |
| SGF |
2009 |
SAS Enterprise Guide for the Business Analyst |
Lina Clover |
source |
11 |
| SGF |
2009 |
Simulating Time Series Analysis Using SAS - Part I The Augmented Dickey-Fuller (ADF) Test |
Ismail E. Mohamed |
source |
7 |
| SGF |
2009 |
Simulating Time Series Analysis Using SAS - Part II Cointegration |
Ismail E. Mohamed |
source |
8 |
| SGF |
2009 |
Tips and Techniques for Analytic Web Services |
Daniel Jahn,
Bradley W. Klenz |
source |
16 |
| SGF |
2009 |
Using SAS to Analyze System Performance Metrics |
Chris Helwig |
source |
9 |
| WUSS |
2008 |
Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
2008 |
Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model |
Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao |
source |
16 |
| WUSS |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2008 |
Step your way through Path Analysis |
Diana D. Suhr |
source |
10 |
| SESUG |
2008 |
Interactive Outlier Review and Regression Analysis in Stat Studio |
Robert Seffrin |
source |
9 |
| SESUG |
2008 |
SAS Code for Variable Selection in Multiple Linear Regression Models Using Information Criteria Methods with Explicit Enumeration for a Large Number of Independent Regressors |
Dennis J. Beal,
Oak Ridge |
source |
9 |
| SESUG |
2008 |
Techniques for Evidence-Based Decision Making Using SAS |
Ian Stockwell |
source |
8 |
| MWSUG |
2008 |
Inverse Prediction Using SAS Software: A Clinical Application |
Jayawant N. Mandrekar,
Cristine Allmer |
|
7 |
| MWSUG |
2008 |
Mastectomy Versus Lumpectomy In Breast Cancer Treatment |
Beatrice Ugiliweneza |
|
17 |
| PNWSUG |
2008 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2008 |
Time Series Analysis Using SAS - Part I - The Augmented Dickey Fuller (ADF) Test |
Ismail E. Mohamed |
|
6 |
| PharmaSUG |
2008 |
An Identification of Diagnostic and Procedure Codes Related to Death and Malnutrition, but not Length of Stay or Total Charges |
Salina Burns |
|
15 |
| PharmaSUG |
2008 |
Joint Repair: A Statistical Analysis of Patient Data |
Grant Johnson |
|
20 |
| PharmaSUG |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
|
34 |
| PharmaSUG |
2008 |
TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 |
Laura E. Archer |
|
11 |
| SGF |
2008 |
Integrating Consumer Demand to Improve Shipment Forecasts |
Charles Chase |
source |
10 |
| SGF |
2008 |
Introduction to Correlation and Regression Analysis |
Ian Stockwell |
source |
8 |
| SGF |
2008 |
ODS and Output Data Sets: What You Need to Know |
Myra A. Oltsik |
source |
13 |
| SGF |
2008 |
ODS for the Professional Statistician |
Steven M. LaLonde |
source |
9 |
| SGF |
2008 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta,
Eric P. Elkin,
Rory Michaelis |
source |
10 |
| NESUG |
2007 |
Customizing Output for Regression Analyses Using ODS and the Data Step |
Zhenyi Xue |
|
11 |
| NESUG |
2007 |
Implementing Multiple Imputation in an Automatic Variable Selection Scenario |
Krishna Mehta,
Mayank Rustagi,
Saurabh Kohli,
Siddharth Tiwari |
|
4 |
| NESUG |
2007 |
ODS, An Introduction to Creating Output Data Sets |
Elisabeth Pyle |
|
7 |
| NESUG |
2007 |
Programming Rolling Regressions in SAS |
Michael Boldin |
|
12 |
| NESUG |
2007 |
Selecting the Appropriate Outlier Detection Technique for Common Industry Applications |
Kunal Tiwari,
Krishna Mehta,
Nitin Jain,
Ramandeep Tiwari,
Gaurav Kanda |
|
5 |
| NESUG |
2007 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| SESUG |
2007 |
Information Criteria Methods in SAS for Multiple Linear Regression Models |
Dennis J. Beal |
source |
10 |
| SESUG |
2007 |
Integrating SAS and Microsoft .NET for Data Analysis |
Mai Nguyen,
Shane Trahan,
Patricia Nguyen,
Jonathan Cirella |
source |
10 |
| MWSUG |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
|
20 |
| WUSS |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| WUSS |
2007 |
Health Outcomes Research Using Time-to-Event Analytic Approaches |
Tyler C. Smith,
Besa Smith |
source |
22 |
| WUSS |
2007 |
Survival Analysis Plots Using SAS ODS Graphics |
Lida Gharibvand,
George C. J. Fernandez |
source |
10 |
| WUSS |
2007 |
Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors |
David J. Pasta,
Eric P. Elkin,
Rory Michaelis |
source |
10 |
| WUSS |
2007 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PHUSE EU |
2007 |
Consideration of endogenous backgrounds in PK analyses |
Fritz Schindel |
source |
10 |
| SCSUG |
2007 |
Efficiencies of Using Count Data Rather than Raw Data in Regression |
Steve Fleming |
|
10 |
| PNWSUG |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2007 |
Coding for Efficient Presentations: The Case of Trend Tests |
Karen M. Schlangen |
|
11 |
| SGF |
2007 |
Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software |
Bethany A. Kromrey,
Jeffrey D. Bell-Ellison |
source |
10 |
| SGF |
2007 |
Analyzing Time Series Cross-Sectional Data with the PANEL Procedure |
Jan Chvosta,
Donald Erdman |
source |
11 |
| SGF |
2007 |
Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach |
Michael J. Sobczak |
source |
12 |
| SGF |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| SGF |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
source |
20 |
| SGF |
2007 |
Methodology for Railway Demand Forecasting Using Data Mining |
Giovanni M. Viglioni |
source |
11 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| SGF |
2007 |
OLS Regression? Auto-Regression? Dynamic Regression? |
Rodger Zhang |
source |
12 |
| SGF |
2007 |
SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD |
Bonnie E. Williams,
Todd Kegan |
source |
12 |
| SGF |
2007 |
Saving Trees with Output Delivery System (ODS) |
Angelina D. Diehl,
Nancy Mandrekar,
Jayawant N. Tan |
source |
9 |
| SGF |
2007 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS |
Leonor L. Ayyangar |
source |
7 |
| SGF |
2007 |
Using SAS Macros to Produce Tables for Publication from SAS-Callable SUDAAN |
Roger P. Pickering |
source |
10 |
| SGF |
2007 |
Using SAS PROC NLMIXED for Robust Regression |
Steven A. Chen,
Lingyun Gilbert |
source |
9 |
| PNWSUG |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| MWSUG |
2006 |
Association of Computer Operator Errors and Lunar Phases |
David J. Corliss |
|
4 |
| MWSUG |
2006 |
Deploying SAS as the Cornerstone of a Stability Monitoring Program |
Jeff Gardner |
|
9 |
| SCSUG |
2006 |
Some SAS Techniques Used in Insurance Business |
Wei Yu |
|
4 |
| PHUSE EU |
2006 |
The Hazards of Modelling Proportional Hazards in SAS |
Erika Daly,
Farzana Sufi |
source |
4 |
| WUSS |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez,
Tonya E. Balan |
source |
32 |
| WUSS |
2006 |
Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations |
Daniel Smith,
Elana Silver,
Martha Harnly |
source |
8 |
| WUSS |
2006 |
Get the Correct Hazard Ratio from SAS PROC PHREG Procedure |
Betty Ying Wang |
source |
7 |
| WUSS |
2006 |
PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2006 |
Sample Survey Data and the Procs you OUGHT To Be Using |
David L. Cassell |
source |
13 |
| WUSS |
2006 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS |
Leonor Ayyangar |
source |
7 |
| WUSS |
2006 |
The Basics of Structural Equation Modeling |
Diana D. Suhr |
source |
19 |
| WUSS |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| NESUG |
2006 |
Data Analysis: Beyond the Basics |
Ian Stockwell |
|
9 |
| NESUG |
2006 |
Logistic Regression Basics |
Joseph J. Guido,
Paul Winters,
Adam Rains |
|
7 |
| NESUG |
2006 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| NESUG |
2006 |
Using SAS to improve the quantification of environmental chemistry samples |
Charles Dow,
Anthony Aufdenkampe |
|
8 |
| PharmaSUG |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez |
|
32 |
| PharmaSUG |
2006 |
From GLM to GLIMMIX-Which Model to Choose? |
Patricia B. Cerrito |
|
7 |
| SUGI |
2006 |
An Evaluation of Splines in Linear Regression |
Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy |
source |
11 |
| SUGI |
2006 |
Comparison of Data Preparation Methods for Use in Model Development with SAS Enterprise Miner |
Charles Manahan |
source |
10 |
| SUGI |
2006 |
Creating Statistical Graphics in SAS 9.2: What Every Statistical User Should Know |
Robert N. Rodriguez,
Tonya E. Balan |
source |
32 |
| SUGI |
2006 |
Fixed Effects Regression Methods in SAS |
Paul D. Allison |
source |
20 |
| SUGI |
2006 |
Introducing the GLMSELECT Procedure for Model Selection |
Robert A. Cohen |
source |
18 |
| SUGI |
2006 |
Introduction to SAS Enterprise Guide 4.1 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
22 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
10 |
| SUGI |
2006 |
The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures |
Katherine L. Baisden,
Paul Hu |
source |
11 |
| SUGI |
2006 |
Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands |
Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett |
source |
11 |
| SUGI |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PNWSUG |
2005 |
How to Make ODS Statistical Graphics Work for You [presentation] |
Andrew H. Karp |
|
48 |
| SESUG |
2005 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
27 |
| SESUG |
2005 |
SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria |
Dennis J. Beal,
Oak Ridge |
source |
6 |
| MWSUG |
2005 |
Using SAS To Assess Dose Proportionality In Dose Escalation Studies |
Keith Dunnigan |
|
12 |
| WUSS |
2005 |
Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG |
Tyler C. Smith,
Besa Smith |
source |
18 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| WUSS |
2005 |
Using Proc Mixed to Model Daytime Log-Cortisol Slopes |
Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang |
source |
4 |
| NESUG |
2005 |
Adopting New Techniques: Statistical Procedures to Determine the Agreement between two Laboratory Methods |
Ashley Peterson,
Larry W. Douglass |
|
13 |
| NESUG |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
20 |
| NESUG |
2005 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
|
7 |
| NESUG |
2005 |
Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns |
Ismail E. Mohamed,
Theresa R. DiVenti |
|
14 |
| PharmaSUG |
2005 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
|
27 |
| PharmaSUG |
2005 |
Using SAS to Automate The Process of Microarrays Data Normalization |
Lei Qin. Cancer |
|
7 |
| SUGI |
2005 |
Automating Predictive Analysis to Predict Medicare Fraud |
Christine L. Warner |
source |
9 |
| SUGI |
2005 |
Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
20 |
| SUGI |
2005 |
Stationarity Issues in Time Series Models |
David A. Dickey |
source |
17 |
| SUGI |
2005 |
Structured Neural Network Techniques for Modeling Loyalty and Profitability |
Carl Lee,
Tim Rey,
James W. Mentele,
Michael Garver |
source |
13 |
| NESUG |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Maura E. Stokes |
|
27 |
| NESUG |
2004 |
Introduction to Using Enterprise Guide for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
|
19 |
| NESUG |
2004 |
ODS for the Statistician |
Steven M. LaLonde |
|
5 |
| NESUG |
2004 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
|
16 |
| SESUG |
2004 |
Case Studies in Time Series |
David A. Dickey |
source |
10 |
| SESUG |
2004 |
Case Studies in Time Series: Periodic Behavior and Related Issues |
Periodic Behavior,
Related Issues,
David A. Dickey |
source |
16 |
| WUSS |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
27 |
| WUSS |
2004 |
Estimating Crude Oil Price Variability Using SAS/ETS Procedures |
Brian Khalifa,
Sung Hoon Kim |
source |
3 |
| WUSS |
2004 |
Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2004 |
PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function |
Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji |
source |
14 |
| WUSS |
2004 |
The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures |
Katherine L. Baisden |
source |
20 |
| MWSUG |
2004 |
Analysis of Complex Sample Survey Data |
Patricia A. Berglund |
|
7 |
| MWSUG |
2004 |
Presenting the Binary Logit Model Effectively using SAS |
Hun Myoung Park |
|
11 |
| PNWSUG |
2004 |
Complex Sampling Meets the Blazing Turkey of Glory |
David L. Cassell |
|
8 |
| PharmaSUG |
2004 |
Statistical Application of SAS in Method Comparison Analysis |
David Shen |
|
13 |
| SUGI |
2004 |
An Introduction to ODS for Statistical Graphics in SAS 9.1 |
Robert N. Rodriguez |
source |
28 |
| SUGI |
2004 |
Assessing Model Fit and Finding a Fit Model |
Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson |
source |
17 |
| SUGI |
2004 |
Case Studies in Time Series II: Periodic Behavior and Related Topics |
David A. Dickey |
source |
17 |
| SUGI |
2004 |
How I Stopped Worrying and Learned to Love Pearsons p: Increasing Robustness in Correlation Analysis |
Eric M. Rosenberg |
source |
11 |
| SUGI |
2004 |
Introduction to Using SAS Enterprise Guide for Statistical Analysis |
Charles B. Hallahan,
Linda P. Atkinson |
source |
20 |
| SUGI |
2004 |
Message Queue-Based Scoring Interface |
David R. Duling,
Robert Chu |
source |
6 |
| SUGI |
2004 |
Pure Evil, or Just Misunderstood? An Interview with PROC TEMPLATE |
Kevin Payton Delaney |
source |
20 |
| SUGI |
2004 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
source |
7 |
| SUGI |
2004 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
source |
17 |
| WUSS |
2003 |
Advanced Analytics with Enterprise Guide |
Catherine Truxillo,
Stephen McDaniel |
source |
9 |
| WUSS |
2003 |
Answering Your Questions with Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
6 |
| WUSS |
2003 |
Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios |
David J. Pasta,
Miriam G. Cisternas |
source |
4 |
| WUSS |
2003 |
Regression Diagnostic Plots |
George C. J. Fernandez |
source |
9 |
| SESUG |
2003 |
Advantages of PROC SCORE |
Mark Tabladillo |
source |
2 |
| SESUG |
2003 |
Am I Evil?? PROC TEMPLATE Exposed |
Kevin Payton Delaney |
source |
10 |
| NESUG |
2003 |
Basic Usage of SAS/ETS' & SAS/STAT' to Forecast Time Series |
Douglas L. McAllaster |
|
10 |
| NESUG |
2003 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
|
14 |
| NESUG |
2003 |
Statistics & Regression - Easier than SAS |
Vincent Maffei,
Michael L. Davis |
|
6 |
| SEUGI |
2003 |
Using the SAS System for Teaching and Research - A Short Review of Co-operations between Statisticians and Medical Students [presentation] |
Barbara G. Schneider |
source |
59 |
| SUGI |
2003 |
Case Studies in Time Series |
David A. Dickey |
source |
9 |
| SUGI |
2003 |
Complex Sampling Designs Meet the Flaming Turkey of Glory |
David L. Cassell,
AnnMaria Rousey |
source |
8 |
| SUGI |
2003 |
Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML |
David J. Pasta,
Miriam G. Cisternas |
source |
6 |
| SUGI |
2003 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2003 |
Known Nonsense |
Carl Formoso |
source |
3 |
| SUGI |
2003 |
Logistic Regression Modeling - JMP StartTM Your Analysis with a Tree |
Pippa M. Simpson,
Renée A. Hall,
James G. Parker,
Jeffrey M. Gossett |
source |
5 |
| SUGI |
2003 |
Scaling SAS Data Access to Oracle RDBMS |
Howard Plemmons Jr.,
Andrew Holdsworth |
source |
6 |
| SUGI |
2003 |
Teaching Statistical Methods Courses with Case Studies and JMP |
Andy Mauromoustakos |
source |
6 |
| MWSUG |
2002 |
A Macro to Assess the Key Drivers of Overall Product Acceptance using SAS System |
George J. Hurley,
David Hengehold |
|
7 |
| SCSUG |
2002 |
Heart Valve Size Estimates Using Body Indices |
O. M. Little |
|
7 |
| SCSUG |
2002 |
SASMLF - Implementations of Nonparameteric Smoothing and Lack-of-Fit Tests Based on Smoothers |
George von Borries,
Jeffrey D. Hart |
|
7 |
| SCSUG |
2002 |
Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps |
Keith A. Jones |
|
8 |
| NESUG |
2002 |
Estimating Confidence Intervals Around Relative Changes in Outcomes in Segmented Regression Analyses of Time Series Data |
Fang Zhang,
Anita Wagner,
Stephen B. Soumerai,
Dennis Ross-Degnan |
|
7 |
| NESUG |
2002 |
One More Time About R2 Measures of Fit in Logistic Regression |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
|
6 |
| SESUG |
2002 |
Basic Usage of SAS/ETS Software to Forecast a Time Series |
Douglas L. McAllaster |
source |
10 |
| WUSS |
2002 |
Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples |
Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye |
source |
6 |
| SEUGI |
2002 |
Enterprise Guide - A Gateway to SAS [presentation] |
Amarpal Brar |
source |
18 |
| SEUGI |
2002 |
SAS Meets Big Iron: High Performance Computing in SAS Analytic Procedures [presentation] |
Robert A. Cohen |
source |
61 |
| SEUGI |
2002 |
Turin Olympic Winter Games 2006: a marketing survey of local government initiatives, conducted with SAS tools [presentation] |
Veronica Baldisserri,
Flavio Bonifacio |
source |
44 |
| SUGI |
2002 |
Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding |
Patricia A. Berglund |
source |
5 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
Robust Regression and Outlier Detection with the ROBUSTREG Procedure |
Colin Chen |
source |
13 |
| SUGI |
2002 |
SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers |
George F. von Borries,
Jeffrey D. Hart |
source |
5 |
| SUGI |
2002 |
SEM for Health, Business, and Education |
Diana D. Suhr |
source |
8 |
| NESUG |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
|
10 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| NESUG |
2001 |
Replicate-Based Variance Estimation in a SAS Macro |
Julia L. Bienias |
|
9 |
| WUSS |
2001 |
Quantifying Audience Theatre Preferences Using SAS Statistical Procedures |
James D. Ryan |
source |
5 |
| SESUG |
2001 |
GETTING STARTED WITH PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SESUG |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
source |
10 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SCSUG |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SCSUG |
2001 |
Heel Ultrasound As a Predictor of Appendicular Bone Mineral Density |
Rebecca G. Frederick,
E. Barry Moser,
Ellen R. Brooks |
|
5 |
| SCSUG |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
|
10 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| SEUGI |
2001 |
A web interface for portfolio risk optimisation with SAS System |
Giuseppe Marcon,
Maria Rita Pepe |
source |
14 |
| SEUGI |
2001 |
Exploiting and extending the Multi Vendor Architecture [presentation] |
Achim Granzen |
source |
52 |
| PharmaSUG |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
|
8 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| SUGI |
2001 |
A Non-mathematical Introduction to Regression Concepts Using PROC REG |
Mel Widawski |
source |
7 |
| SUGI |
2001 |
Efficient Statistical Programming? - Let SAS Do the Work |
Keiko I. Powers |
source |
4 |
| SUGI |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
source |
8 |
| SUGI |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2001 |
Model Fitting in PROC GENMOD |
Jean G. Orelien |
source |
6 |
| SUGI |
2001 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Ray Pass,
Sally M. Muller |
source |
10 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
Using SAS/IML Software for Solving Non-Standard Optimization Problems in Growth Modeling and Optimal Design |
Inna Perevozskaya |
source |
6 |
| NESUG |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
2000 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
|
10 |
| WUSS |
2000 |
A Non-mathematical Introduction to Regression Using PROC REG |
Mel Widawski |
source |
6 |
| WUSS |
2000 |
An Overview of remedial tools for collinearity in SAS |
Chong Ho Yu |
source |
6 |
| WUSS |
2000 |
Detecting Curvillnear Relationships in PROC REG |
Mel Widawski |
source |
9 |
| WUSS |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
2000 |
SAS STAT applications in Econometrics |
Mathura Thillainathan,
George C. J. Fernandez |
source |
10 |
| WUSS |
2000 |
Unemployment and the Money Supply: Estimating Lag Coefficients Using PROC PDLREG |
Jia L. Wang |
source |
6 |
| SEUGI |
2000 |
Managing IS costs through application performance management [presentation] |
Nicolas Lesage |
source |
18 |
| PharmaSUG |
2000 |
Visualize Your Regression Analysis |
Fan Xu |
|
7 |
| SUGI |
2000 |
Detecting Curvilinear Relationships in PROC REG |
Mel Widawski |
source |
9 |
| SUGI |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| SUGI |
2000 |
Multiple Imputation for Missing Data: Concepts and New Development |
Yang Yuan |
source |
10 |
| SUGI |
2000 |
ODS, YES! Odious, NO! - An Introduction to the SAS Output Delivery System |
Lara K. Bryant,
Sally M. Muller,
Ray Pass |
source |
10 |
| SUGI |
2000 |
Product Development and Applied Research: A Formal Approach Using SAS and JMP Software |
John A. Wass |
source |
5 |
| SESUG |
1999 |
Forecasting Army Officer Attrition with Logistic Regression Using The SAS System |
Douglas L. McAllaster |
source |
10 |
| WUSS |
1999 |
Evaluating Student Performance in Statistics Using SAS/ETS Procedures |
Seid M. Zekavat,
Marianna Fratkina |
source |
4 |
| WUSS |
1999 |
Modeling Individual Utility Functions Using SAS PROC LOGISTIC: A Case Study Using the NES Data Set |
Godofredo Gatus |
source |
4 |
| NESUG |
1999 |
Exploratory Data Analysis: Getting to Know Your Data |
Michael A. Walega |
|
8 |
| NESUG |
1999 |
Modeling Customer Choice |
David R. Roberts |
|
6 |
| NESUG |
1999 |
The missing link: PROC GENMOD |
Margaret Ann Goetz |
|
3 |
| MWSUG |
1999 |
REG, GLM, ANOVA: Which One? Why? How? |
Linda M. Quinn |
|
6 |
| MWSUG |
1999 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SEUGI |
1999 |
A user friendly interface for simultaneuos non-linear regression on sets of metallurgical deformation curves [presentation] |
Ronald Mulder |
source |
20 |
| SEUGI |
1999 |
Pharmaceutical application for stability (PASS) analysis |
Charles Stiffler,
Vesna Luzar-Stiffler |
source |
8 |
| SUGI |
1999 |
A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect |
David Olaleye |
source |
6 |
| SUGI |
1999 |
Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED |
Robert G. Downer,
Mark C. Benfield |
source |
5 |
| SUGI |
1999 |
Statistical Graphics |
David A. Dickey |
source |
8 |
| SUGI |
1999 |
Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression |
James E. Dunn,
Lynette K. Duncan |
source |
6 |
| SUGI |
1999 |
Using SAS/INSIGHT Software as an Exploratory Data Mining Platform |
Robin Way |
source |
6 |
| MWSUG |
1998 |
An Introduction to Binary Logistic Regression |
Linda M. Quinn |
|
8 |
| MWSUG |
1998 |
Efficient Analysis of Large Datasets |
Kevin D. Brunson,
Patricia Ledesma Liebana |
|
6 |
| WUSS |
1998 |
Data Warehouses and Bayesian Analysis - A Match Made by SAS |
Ram Gopalan |
source |
6 |
| WUSS |
1998 |
Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML |
David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson |
source |
6 |
| WUSS |
1998 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
1998 |
Influence of 1997-8 Asian Crisis on Enrollment at a Private Los Angeles, CA University |
John L. Rooney |
source |
3 |
| NESUG |
1998 |
A Smart Guide to Dummy Variables: Four Applications and a Macro |
Susan B. Garavaglia |
|
10 |
| NESUG |
1998 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SESUG |
1998 |
Multiple Comparison Procedures with SAS |
Chung-Kuei Chang |
|
9 |
| SESUG |
1998 |
Regression with Time Series Errors |
David A. Dickey |
|
9 |
| PNWSUG |
1998 |
Stepwise Anything: Reading in Regression Procedure Output for Further Testing |
Ted Clay,
Linda Remy |
|
10 |
| PharmaSUG |
1998 |
Using SAS Arrays to Estimate Regression Parameters |
Tesfaye Liranso,
Hoechst Marion Roussel |
|
5 |
| SUGI |
1998 |
An Information-Gain Measure of Fit in PROC LOGISTIC |
Ernest S. Shtatland,
Mary B. Barton |
source |
6 |
| SUGI |
1998 |
Analysis of the National Endowment of the Arts Using SAS/STAT Software |
James D. Ryan |
source |
6 |
| SUGI |
1998 |
Bootstrapping the Standard Error of the Mediated Effect |
Chondra M. Lockwood,
David P. MacKinnon |
source |
6 |
| SUGI |
1998 |
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents |
John C. Brocklebank,
Mark Brown |
source |
24 |
| SCSUG |
1997 |
An Application of Cycle Regression Analysis Algorithm to Predict Electric Utility Demand |
Mayur R. Mehta,
Walter E. Johnston |
|
7 |
| WUSS |
1997 |
Analysis of Designed Experiments Using SAS PROC GENMOD |
Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis |
source |
6 |
| WUSS |
1997 |
California Income Distribution: Using SAS Software to Estimate County Level GINI Coefficients |
Daric Brummett |
source |
5 |
| WUSS |
1997 |
Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS |
Steven Brisby |
source |
5 |
| WUSS |
1997 |
Diagnostic Plots in Regression Analysis |
George C. J. Fernandez |
source |
8 |
| WUSS |
1997 |
Investigating Gender Empowerment: A SAS/STAT Application |
J. Richard Earley |
source |
4 |
| WUSS |
1997 |
Using SAS Multivariate Procedures to Estimate Human Development Indicators: The Case of Education and Human Development |
Joseph E. Earley |
source |
4 |
| NESUG |
1997 |
Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures |
Ernest S. Shtatland |
|
7 |
| NESUG |
1997 |
Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance |
Matthew Reilly |
|
8 |
| MWSUG |
1997 |
Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals |
Lynette A. Gerstner |
|
7 |
| MWSUG |
1997 |
Measuring Regressor Information Content In the Presence of Collinearity |
Joseph Retzer,
Kurt Pflughoeft |
|
7 |
| SESUG |
1997 |
Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples |
Daniel Teodorescu |
|
5 |
| SEUGI |
1997 |
BMW (SA)-Where modelling for motoring is sensational with SAS! |
Lize-Marie Verhoef,
Ria Pretorius |
source |
17 |
| SUGI |
1997 |
Detection of Model Specification, Outlier, and Multicollinearity in Multiple Linear Regression Models Using Partial Regression/Residual Plots |
George C. J. Fernandez |
source |
6 |
| SUGI |
1997 |
Forecasting College Enrollment Using the SAS System |
Joseph E. Earley,
Archie J. Calise |
source |
4 |
| SUGI |
1997 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
1997 |
Introduction to Building a Linear Regression Model |
Leslie A. Christensen |
source |
7 |
| SUGI |
1997 |
Net Impact Analysis for Program Evaluation, Modeling and SAS Programming |
Boqing Wang |
source |
6 |
| SUGI |
1997 |
Regional Theatre: Statistical Reflections on the Bottom Line |
James D. Ryan |
source |
7 |
| SUGI |
1997 |
SAS/GRAPH Blues? SAS/FRAME to the Rescue! |
Kathy Shelley |
source |
6 |
| SCSUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
1996 |
Forecasting Business Failures Using a Poisson Regression Model |
Vasanthakumar Bhat |
|
5 |
| NESUG |
1996 |
Two Many Variables, Too Little Time: A Macro Solution |
Peter Liberatore |
|
4 |
| NESUG |
1996 |
Using Base and SAS/GRAPH Software to Identify and Geographically Display Health Care Labor Markets in New York State |
Matthew Reilly |
|
10 |
| WUSS |
1996 |
Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System |
George C. J. Fernandez |
source |
9 |
| WUSS |
1996 |
Using the SAS System in the Principles of Economics Course |
John F. Kileen,
Joseph E. Earley |
source |
2 |
| PNWSUG |
1996 |
Net Impact for Program Evaluation Modeling and SAS Programming |
Boqing Wang |
|
18 |
| SEUGI |
1996 |
Diagnostics and estimation procedures of quantitative dose response relationships using SAS ... |
Hans-Peter Altenburg |
source |
8 |
| SEUGI |
1996 |
EIS Slovakia - The economic information system of the Slovak Republic |
Josef Chajdiak |
source |
6 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| SEUGI |
1996 |
Statistical models for thermal aging of steel materials in nuclear power plants |
Mattieu Persoz |
source |
11 |
| SUGI |
1996 |
Estimating Optimal Transformations in Non-Linear Models |
Nicholas Scott Cardell,
Dan Steinberg |
source |
6 |
| SUGI |
1996 |
Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias |
Greg A. Grandits,
Patricia Grambsch |
source |
3 |
| MWSUG |
1995 |
Doing Inverse Regression Estimation Via SAS/IML |
E. C. Drago,
T. G. Filloon |
|
6 |
| MWSUG |
1995 |
Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach |
Tom G. Filloon |
|
6 |
| NESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
1995 |
Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects |
Virginia Fitzpatrick,
Ruth Swithenbank |
|
7 |
| NESUG |
1995 |
Understanding the Collinearity Diagnostics in SAS/INSIGHT and PROC REG |
Charles B. Hallahan |
|
4 |
| WUSS |
1995 |
A Look at Broadway Theatre Using the SAS System |
James D. Ryan |
source |
5 |
| WUSS |
1995 |
Heteroskedasticity in Regression Model - Detection and Remedial Measures Using SAS 6.10 |
George C. J. Fernandez |
source |
10 |
| SESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1995 |
Information Visualization STATISTICAL GRAPmCS |
David A. Dickey |
|
6 |
| SESUG |
1995 |
New Age Marketing: Past Life Regression versus Logistic Regression |
C. Olivia Parr Rud |
|
9 |
| SEUGI |
1995 |
Regional Econometric Modeling An Application of SAS/IML Software |
Jorgen Lauridsen |
source |
20 |
| SEUGI |
1995 |
Wouldn't it be Good if we Understood what Drives our Claims |
Kevin Williams |
source |
9 |
| SUGI |
1995 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang,
Russell D. Wolfinger |
source |
11 |
| SUGI |
1995 |
Conducting Linear Growth Curve Analysis with the SAS System |
Laura Ichikawa,
William E. Barlow |
source |
6 |
| SUGI |
1995 |
Plotting Confidence Intervals and Prediction Bands with SAS/GRAPH Software |
Huixing Tang,
Kerril S. Bauerly,
David Swift |
source |
3 |
| SUGI |
1995 |
Robust Analysis Adds M-uscle to Data Analyses |
E. Charlene Drago,
Tom Filloon |
source |
6 |
| SCSUG |
1994 |
Intervention Analysis in Vocational Rehabilitation |
David B. Cohen |
|
12 |
| SCSUG |
1994 |
Plotting Confidence Intervals and Prediction Bands With SAS/GRAPH |
Huixing Tang,
David Swift,
Kerril S. Bauerly |
|
5 |
| WUSS |
1994 |
The Use of SAS Regression in Analyzing a Major Sporting Event: The Case of the 1994 Masters Tournament |
William Orzeck,
Joseph E. Earley |
source |
5 |
| WUSS |
1994 |
Using the SAS System to Measure Factors Determining Success by Those Majoring in Theatre at the University Level |
James D. Ryan |
source |
3 |
| NESUG |
1994 |
Exploratory Data Analysi When You Don't Have SAS/INSIGHT |
Michael A. Walega |
|
10 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| SESUG |
1994 |
Critical Steps to Meaningful Causal Data Analysis |
Deborah Wall |
|
4 |
| SESUG |
1994 |
SAS 6.09 on a CONVEX C3840: First Impressions |
Kenneth A. Hardy,
Sally M. Muller |
|
8 |
| SEUGI |
1994 |
Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System |
Paola Baiardi |
source |
10 |
| SEUGI |
1994 |
Neural Networks and Statistical Models |
Derek Powell,
Martin Duffy |
source |
9 |
| SEUGI |
1994 |
Using SAS/IML Software to Develop Flexible Regression Models |
Edwin Gillespie,
Noel Wilson |
source |
5 |
| SUGI |
1994 |
Getting Started with Interactive Programming |
Ted Bandy |
source |
9 |
| SUGI |
1994 |
Integrating Statistical Information into Graphical Displays |
Susan J. Kenny |
source |
10 |
| SUGI |
1994 |
Neural Network Implementation in SAS Software |
Warren S. Sarle |
source |
23 |
| SUGI |
1994 |
Neural Networks and Statistical Models |
Warren S. Sarle |
source |
13 |
| SUGI |
1994 |
SAS 6.09 on a CONVEX C3840: First Impressions |
Kenneth A. Hardy,
Sally M. Muller |
source |
8 |
| SUGI |
1994 |
Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs |
Richard P. Steiner,
N. Margaret Wineman |
source |
5 |
| WUSS |
1993 |
A Modification of Two-Stage Least Squares in Quasi-Experiments |
Alex Ezuzides,
Raymond C. Peck |
source |
9 |
| MWSUG |
1993 |
Common Industrial Applications of Mixed Models |
Bob Obenchain |
|
10 |
| MWSUG |
1993 |
Generalized Least Squares Estimation in Heteroscedastic Linear Models |
George W. Pasdirtz |
|
7 |
| MWSUG |
1993 |
Graphical Methods for the Interpretation of Linear Regression Models |
Simin Kavoossi,
Timothy E. Cooley |
|
7 |
| SEUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Gerhard Held |
source |
11 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SEUGI |
1993 |
Variable Selection Techniques Implemented in Procedures of SAS Software |
Olaf Gefeller |
source |
9 |
| SUGI |
1993 |
A SAS Macro Procedure to Summarize the Output of Logistic Regression Models |
Benjamin I. Broder,
Chih-Ping Chou |
source |
6 |
| SUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Greg J. Weier,
Randall D. Tobias |
source |
11 |
| SUGI |
1993 |
Forecasting Methods |
Mark Little |
source |
13 |
| SUGI |
1993 |
Getting to Know You, Getting to Know All About You: Simple Techniques for Forming a Relationship with Your Data |
Arthur L. Carpenter |
source |
6 |
| SUGI |
1993 |
MONOSEL: A SAS Macro for Model Selection in Linear Regression Analysis |
Victor Kamensky,
Ilya Muchnik |
source |
6 |
| SUGI |
1993 |
RNs, MDs and the SAS System: Describing Medical Professional Trends Using SAS Procedures |
Joseph E. Earley,
Joyce Bailey,
Archie J. Calise |
source |
3 |
| SESUG |
1993 |
Using SAS Statistical Procedures in Medical Research |
Joe Cholewczynski |
|
6 |
| SCSUG |
1992 |
A Scoring System for Sales Tax Audit Selection |
Thomas J. Winn Jr. |
|
10 |
| SCSUG |
1992 |
Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC |
Chuan-Chuan C. Wun |
|
19 |
| NESUG |
1992 |
More on Business Forecasting With SAS |
Jeffrey Jarrett |
|
5 |
| MWSUG |
1992 |
Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software |
Mark Brown,
Marshall P. Scott |
|
6 |
| SEUGI |
1992 |
Data Analysis and Storage Using the SAS System at JET, the Joint European Torus |
Knud Thomsen |
source |
16 |
| SEUGI |
1992 |
Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software |
Rainer Muche |
source |
10 |
| SUGI |
1992 |
A Macro Procedure in SAS Software to Summarize Output of Regression Models |
Chih-Ping Chou,
Eric Yu I. Wang |
source |
4 |
| SUGI |
1992 |
Analyzing Business and Economics Data with SAS/ETS Software |
Mark Little |
source |
9 |
| SUGI |
1992 |
Bootstrap Estimation of the Variance of Percentile Regression Parameters |
Michael L. Smith,
George Howard,
Gregory W. Evans |
source |
9 |
| SUGI |
1992 |
SAS Software and the Bard: Using SAS Software Procedures to Measure One-Person Theatrical Show Preferences |
James D. Ryan,
Joseph E. Earley |
source |
6 |
| SUGI |
1992 |
Using Macros to Run Regressions |
Reesa L. Laws |
source |
2 |
| SCSUG |
1991 |
Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You |
Richard W. Cole |
|
12 |
| SCSUG |
1991 |
PROC AUTOREG to Forecast With a Time-Series/Cross-Section Autocorrelation Model |
Neil S. Fleming,
Willy Waks |
|
16 |
| NESUG |
1991 |
Macros for User-Friendly Systems |
Robert Virgile |
|
8 |
| NESUG |
1991 |
Overview of ETS Procedures for Business Forecasting |
Jeffrey Jarrett |
|
4 |
| MWSUG |
1991 |
Home Value - Location, Location, Location: An Application in Real Property Gloval Response Surface Technology |
Lawrence C. Marsh,
Anthony B. Sindone |
|
5 |
| SEUGI |
1991 |
Future Directions of Statistical Software with the SAS System |
David M. DeLong |
source |
20 |
| SEUGI |
1991 |
Statistical Evaluation and Forecasting of Steel Corrosion Data |
Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester |
source |
11 |
| SEUGI |
1991 |
Statistical Procedures in Testing the Performance of Crop Growth Simulation Models |
Ferenc Zemankovics,
Zsuzsanna Bacsi |
source |
15 |
| SUGI |
1991 |
Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution |
Sally Powell |
source |
5 |
| SUGI |
1991 |
Robust Estimator for Linear Regression |
Ashok Mehta |
source |
7 |
| SUGI |
1991 |
Testing for Lack of Fit in Regression Using SAS Software |
Julie Wildman-Pepe,
Susan C. Schott |
source |
6 |
| SUGI |
1991 |
The Quality Control Process in Applications Development Areas of MIS |
Scott Maretick |
source |
6 |
| SUGI |
1991 |
Using the IML Procedure for Iteratively Reweighted Multiple Linear Regression with a Block-diagonal Covariance Matrix |
Donald H. MacQueen |
source |
5 |
| NESUG |
1990 |
Regression Analysis In The Real World |
Edith Flaster |
|
7 |
| SEUGI |
1990 |
Performing Conjoint Analysis Using Proc Transreg |
Bjarne Nielsen,
Marcus Schmidt |
source |
6 |
| SEUGI |
1990 |
Robust Estimation of Radio Immuno Assays Using SAS Software |
Hans-Peter Altenburg |
source |
8 |
| SUGI |
1990 |
A SAS Macro Based System for the Preparation of Data for Comparative Bioavailability Analysis |
Kelly K. Antony,
Laurie T. Elstun |
source |
5 |
| SUGI |
1990 |
A SAS/AF Procedure Using Regression Analysis to Estimate Remaining Recoverable Petroleum Reserves |
Karen L. Bice,
Kim Wallis,
Bernard Couderc |
source |
6 |
| SUGI |
1990 |
Alternative Methods of Estimating Piecewise Linear and Higher Order Regression Models Using SAS Software |
Lawrence C. Marsh,
Manjula Maudgal,
Jaishankar Raman |
source |
5 |
| SUGI |
1990 |
Alternative Parameterization for Anova Models Using SAS Software |
Robert M. Hamer |
source |
8 |
| SUGI |
1990 |
Analyzing a Regression Model with a General Positive Definite Covariance Matrix with the SAS System |
Gerardo I. Hurtado |
source |
7 |
| SUGI |
1990 |
Estimating Standard Errors for a Proposed Survey |
Samuel M. Slowinski,
Hank Leddon |
source |
6 |
| SUGI |
1990 |
Mastering the SAS System Using Master Indexes |
SAS Institute (a company) |
source |
3 |
| SUGI |
1990 |
The SAS System Earns an MBA: Using SAS Software in an MBA Economics Course |
Joseph E. Earley |
source |
2 |
| SEUGI |
1989 |
HyTAO - An Expert System For Statistical Data Processing |
Markku Korhonen |
source |
13 |
| SUGI |
1989 |
Automated Analysis of Linear-Plateau Models |
Damon Disch |
source |
6 |
| SUGI |
1989 |
Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC |
Gary William Carr,
Gerald Tlapa |
source |
8 |
| SUGI |
1989 |
How to Establish a Forecasting System with SASSoftware |
Joel Fingerman |
source |
10 |
| SUGI |
1989 |
Illustrating Confidence Intervals Using SAS Software |
Julie Wildman-Pepe |
source |
6 |
| SUGI |
1989 |
Monotone Regression Utilizing Ranks |
William Jay Conover,
Ronald L. Iman |
source |
3 |
| SUGI |
1989 |
Weighted Multicollinearity Diagnostics for Logistic Regression |
Brian D. Marx,
Eric P. Smith |
source |
6 |
| SUGI |
1989 |
What Does R2 Measure? |
Steven F. Thomson |
source |
4 |
| SEUGI |
1988 |
Confidence Regions for Non-Linear Regression |
Graham Healy |
source |
8 |
| SEUGI |
1988 |
New Features in the REG Procedure for Version 6 |
Birger Madsen |
source |
6 |
| SUGI |
1988 |
A SAS/IML Software Macro for Testing Non-Nested Regression Models |
Laura L. Bauer,
Oral Capps Jr.,
Eric P. Smith |
source |
6 |
| SUGI |
1988 |
An Expert System Interface |
Julie A. Elston,
David J. Purdon |
source |
5 |
| SUGI |
1988 |
Dealing with Limitations of SAS/STAT Software on a PC |
Thomas R. Birkett |
source |
4 |
| SUGI |
1988 |
Detection of Influential Observations in Logistic Regression Using the SAS System |
Charles S. Davis |
source |
6 |
| SUGI |
1988 |
Extending the SAS System on Microcomputers with SAS/IML Software, the Interactive Matrix Language |
Linda P. Atkinson |
source |
10 |
| SUGI |
1988 |
New Features in the REG Procedure for Version 6 |
Sandra D. Schlotzhauer |
source |
6 |
| SUGI |
1988 |
Predicting Equipment Failure Using Weibull Analysis and SAS Software |
Bruce Kay,
Douglas E. Price |
source |
6 |
| SUGI |
1988 |
Regression and the SAS System: An Overview |
Rudolf J. Freund |
source |
9 |
| SUGI |
1988 |
Robust Estimation Using SAS Software |
Will A. Sullivan,
Liangg Yuh |
source |
6 |
| SUGI |
1988 |
The Influence of Economic Variables on Seminary Participation: A SAS/ETS Application |
Archie J. Calise,
Joseph E. Earley |
source |
5 |
| SUGI |
1988 |
Using SAS/STAT Software's REG Procedure to Develop Sales Tax Audit Selection Models |
Kirk L. Johnson,
Richard W. Kulp |
source |
6 |
| SUGI |
1988 |
Using the NLIN Procedure to Fit Segmented Regression Models: A Tutorial |
George A. Milliken |
source |
10 |
| SUGI |
1988 |
Workload and Revenue Projection for Computer Center Cost Recovery Systems |
Tim Carrico,
Nada Harris |
source |
9 |
| SEUGI |
1987 |
Tutorial on PROC REG |
Gerhard Held |
source |
39 |
| SUGI |
1987 |
Graphical Methods for the Analysis of Survival Data |
Frank E. Harrell Jr.,
Kerry L. Lee,
Barbara G. Pollock |
source |
9 |
| SUGI |
1987 |
The Bayesian Estimation of Linear Models: An Application of the Lindley-Smith Hyperparameter Model |
Dennis J. Aigner,
Joseph G. Hirschberg |
source |
6 |
| SUGI |
1987 |
Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software |
Thomas B. Fomby,
Joseph G. Hirschberg |
source |
6 |
| SEUGI |
1986 |
SAS/STAT Software on the IBM PC under PC DOS |
Gerhard Held |
source |
12 |
| SUGI |
1986 |
A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data |
Kenneth O. Story,
Edward F. Vonesh |
source |
6 |
| SUGI |
1986 |
Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures |
Mary Lynn Spada |
source |
4 |
| SUGI |
1986 |
Checking for Autocorrelation in Regression Residuals |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1986 |
Comparing Parameter Estimates Between Linear Models |
John E. Teberg |
source |
7 |
| SUGI |
1986 |
Generalized Information Requirements of Intelligent Decision-Making Systems |
Paul J. Werbos |
source |
7 |
| SUGI |
1986 |
The Effect of Centering on the Condition Number of Polynomial Regression Models |
Robert B. Bendel |
source |
5 |
| SUGI |
1986 |
Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments |
Joanne R. Wendelberger |
source |
6 |
| SUGI |
1986 |
Variable Selection and Case Analysis in Regression |
Gerald R. Hobbs |
source |
6 |
| SUGI |
1986 |
Weighted Ridge Estimation in a Collective Bargaining Context |
Teresa Ghilarducci,
Lawrence C. Marsh |
source |
6 |
| SUGI |
1986 |
What SAS Software Does and Doesn't Do: Things Your Mother Never Told You |
Calvin D. Croy |
source |
4 |
| SEUGI |
1985 |
Test Procedures for Model Selection and Model Validation |
Wil Velding |
source |
23 |
| SUGI |
1985 |
A Time Series Approach to Modeling Daily Peak Electricity Demands |
Michael F. Jacob |
source |
6 |
| SUGI |
1985 |
Bounded Influence Regression Using SAS Software |
David Giltinan |
source |
6 |
| SUGI |
1985 |
RAGS: An Interactive SAS, IDMS, and FORTRAN Tool for Regression Analysis |
Brent L. Peterson |
source |
5 |
| SUGI |
1985 |
Regression and Diagnostics |
Gerald R. Hobbs |
source |
8 |
| SUGI |
1985 |
Repeated Measures in Nonlinear Models |
Ronald W. Helms,
Keith E. Muller |
source |
5 |
| SUGI |
1985 |
Using SAS Software to Estimate and Plot a Regression Line and Confidence Band in Multiple Treatment Linear Regression |
Howard Hait |
source |
6 |
| SUGI |
1984 |
A Hierarchical Approach to Daily Stock Market Forecasting |
Heydar Pourian |
source |
6 |
| SUGI |
1984 |
Changes and Enhancements to SAS/ETS Procedures |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
6 |
| SUGI |
1984 |
Forecasting Customer Air Conditioner Loads and Load Drops for Electric Utility Load Management Program Planning |
Marjorie R. McRae,
Richard M. Scheer,
Bruce A. Smith,
Louise Weiler |
source |
4 |
| SUGI |
1984 |
PROC JACKREG-A SAS Procedure for Jackknife Regression |
Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs |
source |
6 |
| SUGI |
1984 |
SAS Applications to a Spring Wheat and Sunflower Yield Modeling Project |
Paul G. Held,
James Knuteson,
D. Patterson,
Michael Ulmer |
source |
4 |
| SEUGI |
1983 |
Use of SAS Regression Techniques for Capacity Planning |
E. M. McCall |
|
9 |
| SUGI |
1983 |
A Multi-Evaluative Approach to the Analysis of Clinical Laboratory Data |
William A.T. Archambault Jr.,
James J. Tiede |
source |
6 |
| SUGI |
1983 |
Robust Regression and PROC JACKREGR |
Daniel M. Chilko,
Gerald R. Hobbs |
source |
|
| SUGI |
1983 |
SAS/ETS: What Isn't and What Could Be |
Robert P. Parks |
source |
6 |
| SUGI |
1983 |
Treating Multicollinearity with SAS |
William J. Wilson |
source |
6 |
| SUGI |
1983 |
Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX |
Robert S. Barcikowski,
Randall R. Robey |
source |
6 |
| SUGI |
1983 |
Using PROC REG to Analyze Mixture Experiments |
Mark E. Showers |
source |
4 |
| SUGI |
1982 |
A Pharmacokinetic Analysis System (PAS) |
Raymond P. Chen,
Daniel M. Wildman |
source |
|
| SUGI |
1982 |
Evaluating Linear Model Representations of Cubic Splines Using PROC REG |
Thomas P. Capizzi,
Hina Mehta |
source |
6 |
| SUGI |
1982 |
Four Topics in Statistics |
Rudolf J. Freund |
source |
8 |
| SUGI |
1982 |
Repeated Measures ANOVA: The Multivariate Approach |
S. Paul Wright |
source |
4 |
| SUGI |
1982 |
Using Spline Functions and the Bootstrap to Fit Differential Equation Models to Data |
Thomas P. Capizzi,
Robert D. Small |
source |
6 |
| SUGI |
1981 |
Diagnostic Techniques in Multiple Linear Regression Using PROC MATRIX |
Ronald R. Hocking,
O. J. Pendleton |
source |
7 |
| SUGI |
1981 |
Plotting Confidence Bands Using PROC GLM and PROC REG |
Curtis Barton |
source |
6 |
| SUGI |
1981 |
SAS Outlier Macros: A Banking Problem |
James A. Calloway,
William L. Seaver |
source |
5 |
| SUGI |
1980 |
MRR: A New Approach to Ridge Regression Using SAS |
T. Janakiraman,
Lawrence C. Marsh |
source |
5 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
Slope Ratio Bioassay Using SAS |
Janet E. Field,
Rudolph S. Parrish,
Glenn O. Ware |
source |
|
| SUGI |
1980 |
The Use of a Linear Spline Model in the Analysis of a Repeated Measures Experiment Through SAS |
Rocco L. Brunelle,
David W. Johnson |
source |
5 |
| SUGI |
1980 |
Tobit Analysis Using SAS |
Cathryn Gust,
Rebecca Klemm |
source |
5 |
| SUGI |
1979 |
A SAS Macro for Robust Multiple Regression |
Charles McElrea |
source |
4 |
| SUGI |
1977 |
A General SAS Macro for Performing Weighted Least Squares |
Wanda H. Burton |
source |
3 |
| SUGI.ONE |
1976 |
A Comparison of BMD, SAS and SPSS |
T. Papaioannou,
G.P.H. Styan,
L.L. Ward |
source |
21 |
| SUGI.ONE |
1976 |
Econometric Uses of SAS |
Max Moszer,
Martha S. Shuler |
source |
26 |
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