| PHUSE US |
2026 |
AI + Metadata : An Agentic Approach to Standards-Based Automation |
Kevin Burges |
source
presentation source |
10 |
| MWSUG |
2025 |
Multivariate Ratio Edits Using Tolerance Intervals [presentation] |
Daniel Tuyisenge,
Derek Young,
Thomas Mathew |
source |
26 |
| PharmaSUG |
2025 |
How to compute common clinical trials statistics in R |
Oleksandr Babych |
source |
15 |
| PharmaSUG |
2023 |
Pros and Cons of Freelancing |
Pradeep Bangalore |
source |
10 |
| SGF |
2021 |
Automated Vehicle Odometer Reading Using SAS for AI and Computer Vision |
Tyler Rosacker,
Kedar Prabhudesai,
Hardi Desai,
Neela Vengateshwaran,
Varunraj Valsaraj |
source
pdf |
17 |
| SGF |
2020 |
Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS |
Tunde Odusami |
source |
25 |
| SESUG |
2019 |
User-Defined Functions that Concatenate Statistics for Standard Reporting |
Martha Wetzel |
source |
6 |
| PharmaSUG |
2018 |
Statistician in my Soul. Statistical Questions from SPA |
Nadiia Hryhorenko |
source |
12 |
| SESUG |
2017 |
Exploring JMP Modeling Functionality Using Consumer Expenditure Data |
Joshua Klick |
source |
12 |
| SESUG |
2017 |
Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation Methods on Point and Interval Estimates when Data are MCAR, MAR, and MNAR |
Listwise Deletion |
source |
26 |
| SGF |
2017 |
Fuzzy Matching and Predictive Models for Acquisition of New Customers |
Daniel Marinescu |
source |
12 |
| WUSS |
2016 |
Constructing Confidence Intervals for the Differences of Binomial Proportions in SAS |
William Garner |
source |
13 |
| PharmaSUG |
2016 |
Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis |
Sakthivel Sivam,
Subbiah Meenakshisundaram |
source |
8 |
| PharmaSUG CN |
2015 |
The Application of Tolerance Interval in Defining Drug Response for Biomarker |
Jing Pan |
|
7 |
| PharmaSUG |
2015 |
Confidence Intervals Are a Programmer's Friend |
Xinxin Guo,
Zhaohui Su |
source |
8 |
| PharmaSUG |
2014 |
Attain 100% Confidence in Your 95% Confidence Interval |
Indu Nair,
Binal Patel |
source |
9 |
| WUSS |
2013 |
Exact Testing Procedures in SAS for Categorical Data Analysis |
Guogen Shan,
Darren Liu |
source |
5 |
| SESUG |
2013 |
SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples |
Patricia Rodríguez de Gil,
Jeanine L. Romano,
Thanh Pham,
Diep T. Nguyen,
Jeffrey D. Kromrey,
Eun Sook Kim |
source |
9 |
| NESUG |
2013 |
How to Handle Binomial Proportion with Zero Frequency |
Tulin Shekar |
|
11 |
| PharmaSUG |
2013 |
Mapping Unique Aspects of Implantable Medical Device Study Data to CDISC SDTM Medical Device Domains |
Timothy L Bullock,
Sini Nair,
Ramkumar Krishnamurthy,
Todd M. Gross |
source |
12 |
| SGF |
2013 |
Integrated Framework for Stress Testing in SAS |
Jimmy Skoglund,
Wei Chen |
source |
11 |
| SESUG |
2012 |
Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study |
John Chantis |
source |
9 |
| MWSUG |
2012 |
Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive |
Bruce Bedford |
|
13 |
| SGF |
2012 |
A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis |
Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey |
source |
12 |
| SESUG |
2011 |
CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis |
Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey |
source |
10 |
| SESUG |
2011 |
PROC SURVEY... Says!: Selecting and Analyzing Stratified Samples |
Darryl Putnam |
source |
9 |
| PHUSE EU |
2011 |
Estimation of relative potency in a 4-point parallel line assay |
Stefano Vezzoli |
source
presentation source |
11 |
| MWSUG |
2011 |
Application of SAS to monitoring loan defaults in consumer credit portfolios |
Yevhen Yankovskyy |
|
9 |
| SGF |
2011 |
Developing User-Defined Functions in SAS: A Summary and Comparison |
Songfeng Wang,
Jiajia Zhang |
source |
9 |
| SGF |
2011 |
Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City |
Ted Clay |
source |
11 |
| MWSUG |
2010 |
Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What |
Dave LeBlond |
|
18 |
| SGF |
2010 |
Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics |
Amy G. Froelich,
William M. Duckworth |
source |
9 |
| SGF |
2010 |
Using SAS Enterprise Miner 5.3 to Examine Factors Such as Poverty Levels in Different School Districts |
Patricia B. Cerrito |
source |
8 |
| SGF |
2009 |
Mainstreaming Web Data with SAS Web Analytics |
Kimberly R. Weller |
source |
6 |
| SESUG |
2008 |
ATTENUATE: A SAS Macro for Computing Confidence Intervals for Disattenuated Correlation Coefficients |
Jeffrey D. Kromrey,
Robert H. Fay,
Aarti P. Bellara |
source |
13 |
| MWSUG |
2008 |
Confidence Interval Calculation for Binomial Proportions |
Keith Dunnigan |
|
12 |
| NESUG |
2008 |
Breakthrough Improvements through Reliable Modern Testing using SAS and JMP |
Sunil Kumar Gupta |
|
14 |
| PharmaSUG |
2008 |
Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System |
Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari |
|
19 |
| SGF |
2008 |
ALPHA_CI: A SAS Macro for Computing Confidence Intervals for Coefficient Alpha |
Jeffrey D. Kromrey,
Jeanine L. Romano,
Susan Hibbard |
source |
12 |
| SUGI |
2005 |
Benchmark Dose Estimation Using SAS |
Matthew W. Wheeler |
source |
9 |
| SESUG |
2004 |
A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values |
Mark S. Litaker |
source |
6 |
| NESUG |
2003 |
A SAS Program for Estimating Incidence Density for Cohort Studies with Multiple Follow-ups |
Jinbing Zhang,
Xiaofang Yu |
|
5 |
| PharmaSUG |
2003 |
Confidence Intervals in Analysis and Reporting of Clinical Trials |
Guangbin Peng |
|
8 |
| SESUG |
2002 |
Research Across Multiple Systems: Probabilistic Population Estimation (PPE) |
Diane Haynes,
Rebecca Larsen,
Shabnam Mehra |
source |
7 |
| SEUGI |
2002 |
Market risk estimation through modeling and visualizations in the SAS System [presentation] |
Jerzy Krawczuk |
source |
9 |
| SEUGI |
2002 |
SAS application: PEST 4 for sequential clinical trials [presentation] |
Tatsuru Matsushita |
source |
19 |
| NESUG |
2001 |
A Comparison of Binomial Proportion Interval Estimation Methods |
John Ulicny |
|
7 |
| SEUGI |
2001 |
Customer Profiling as an integrated system in order to know and interact with the customers [presentation] |
Angelo Marvaldi |
source |
20 |
| SEUGI |
2001 |
Integration of campaign management and data mining at MTN South Africa [presentation] |
Marcelle Georgiev,
Mohan Namboodiri |
source |
22 |
| SEUGI |
2001 |
SAS and CFMS Integration - Attacking Fraud in Next Generation Networks [presentation] |
Augusto Argento |
source |
35 |
| SEUGI |
2000 |
Risk Dimensions V3 Overview [presentation] |
Rik van de Weerthof |
source |
28 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| SEUGI |
1999 |
Credit risk analysis: an empirical approach [presentation] |
Angela Ancona,
Emiliano Laruccia,
Flavio Addolorato |
source |
22 |
| SEUGI |
1999 |
S.O.C.R.A.T.E.S. Simultaneous Optimal Control by Recursive and Adaptive Estimation Systsem |
Giacomo Patrizi |
source |
12 |
| SCSUG |
1997 |
Hodges-Lehmann Confidence Intervals for a Shift in Location Using SAS Procedure SQL |
Ann Olmstead |
|
6 |
| NESUG |
1997 |
A Self-Organizing Median-Estimation Model |
Susan B. Garavaglia |
|
9 |
| SUGI |
1996 |
User Support at SAS Institute: Using SAS Software for Problem and Request Management Tracking |
Jerry J. Hosking,
Sandra Webb,
Teresia L. Arthur |
source |
8 |
| MWSUG |
1995 |
SAS Macros for Exact Confidence Limits |
Richard L. Berg |
|
6 |
| SUGI |
1995 |
Using SAS Software for the Move from Mainframe to Workstation |
Beth Bednarek,
Jim Malizia |
source |
3 |
| SEUGI |
1994 |
Point and Interval Estimation of Risk and Rate Advancement Periods in Epidemiologic Studies Using SAS Software |
Annette Pfhalberg |
source |
11 |
| SUGI |
1992 |
A SAS Program to Compute Factors for One-Sided Tolerance Limits for a Normal Distribution |
Susan Portugal |
source |
4 |
| SUGI |
1991 |
Exact Confidence Intervals for Estimating Proportions When Sampling from a Finite Population |
How J. Tsao,
Steven M. LaLonde |
source |
5 |
| SEUGI |
1990 |
Estimating Distribution Functions with the SAS System |
J. Hefner,
Werner Bundschuh |
source |
16 |
| SUGI |
1990 |
Determining Sample Sizes Needed to Achieve the Specified Confidence Levels - Binomial Distribution Approach |
Shi-Tao Yeh |
source |
4 |
| SUGI |
1990 |
Interactive Random Sampling |
Ashok Mehta,
Paul H. Bern |
source |
3 |
| SUGI |
1990 |
Nonparametric Estimates and Confidence Intervals for the Medians and Difference in Medians Between Two Treatment Groups |
Rodney Wong,
Reiling Lee |
source |
5 |
| SUGI |
1990 |
Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC |
George W. Pasdirtz |
source |
4 |
| SUGI |
1988 |
The TVA Waterborne Commerce Economic Simulation Model: Overview and Application |
Larry G. Bray,
Reba L. Copeland |
source |
4 |
| SUGI |
1986 |
A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot |
Melvin T. Alexander |
source |
4 |
| SUGI |
1986 |
PROC RSMCB: A Procedure for Ranking, Selection, and Multiple Comparisons with the Best |
James C. Aubuchon,
Shanti S. Gupta,
Jason C. Hsu |
source |
5 |
| SUGI |
1985 |
Box Plots using SAS/GRAPH Software |
Ann Olmsted |
source |
7 |
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