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probability distribution

162 papers and 7 presentations; 165 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2026 Teaching Small Models To Think Big: Enterprise-Ready AI Through Knowledge Distillation Ramanathan Srinivasan,
Angu Sundaresh Krishna Kumar		 source
presentation source		 7
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making Anbu Damodaran source 14
MWSUG 2024 Making Text Analytics More Approachable: From Traditional to Generative AI for Business Applications [presentation] Vikranth Reddy Chapaala source 13
SESUG 2024 Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging Victor Aderanti source 31
WUSS 2024 Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System Jesse Albert Canchola source 13
WUSS 2024 Simulation in SAS for Estimating Power [presentation] Michael Williams source 18
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2023 Fitting Logitoid-Normal distributions with MLE estimate by SAS SEVERITY and FCMP procedures Lili Huang,
Helen Dong,
Yuanyuan Liu		 source 8
PHUSE US 2023 The FiguRes Package for Supporting Large Scale Figure Production with Applications to Clinical Trial Reporting Efforts Greg Cicconetti source
presentation source		 19
SAS Explore 2022 Quantifying the Risk of Flood and Value at Risk [video] Mathilda Julin source
PHUSE EU 2021 Statistical Training for Health Technology Assessment Statistical Programmers Anastasia Kokoreva,
William Malbecq		 source
video
presentation source		 7
SGF 2021 A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman		 source 9
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh,
Goutam Chakraborty		 source 23
SGF 2020 Using SAS OpRisk Global Data to Improve Decision-Making at a Bank Mentje Gericke,
Helgard Raubenheimer		 source 17
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
MWSUG 2019 Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models Thu Dinh 23
MWSUG 2019 Logistic Regression, Basics and Beyond Bruce S. Lund 35
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
PharmaSUG 2019 Statistical Assurance in SAS: An Introduction and User-s Guide Jonathan L Moscovici,
Milena Kurtinecz		 source 8
SGF 2019 A Neural Net Brain for an Autocompletion Engine: Improving the UX though Machine Learning Alona Bulana,
Igor Khorlo		 source 11
SGF 2019 Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase Jay P. Carini,
Amy Pielow,
Joel C. Weaver		 source 16
SGF 2019 Monitoring the Relevance of Predictors for a Model Over Time Ming-Long Lam source 16
SGF 2019 Multiple Imputation for Skewed Multivariate Data: A Marriage of the MI and COPULA Procedures Zhixin Lun,
Ravindra Khattree		 source 9
PHUSE EU 2018 Simulating Enrolment Plans Jim Box source
presentation source		 6
SGF 2018 Bayesian Networks for Causal Analysis John Amrhein,
Fei Wang		 source 11
SGF 2018 Economic Capital Modeling with SAS Econometrics Mahesh V. Joshi source 19
SGF 2018 Looking Beyond the Model with SAS Simulation Studio: Data Input, Collection, and Analysis Edward P. Hughes,
Emily Lada		 source 20
SGF 2018 Regime-Switching Models: Capturing Structural Changes in Time Series Xilong Chen,
Ji Shen		 source 14
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
WUSS 2017 Variance Ratio Estimation Using the PRECMOD SAS Macro Jesse Albert Canchola,
Pari Hemyari		 source 12
PharmaSUG 2017 Same statistical method different results? Don-t panic the reason might be obvious. Iryna Kotenko source 8
SGF 2017 Building Bayesian Network Classifiers Using the HPBNET Procedure Ye Liu,
Weihua Shi,
Wendy Czika		 source 19
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SGF 2017 Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide Luiz Carlos Leao source 20
SGF 2017 Using PROC SEVERITY to Evaluate Quantile Approximation Techniques for Compound Distributions Helgard Raubenheimer,
Riaan de Jongh		 source 11
SCSUG 2016 Ten Tips for Simulating Data with SAS Rick Wicklin source 15
PHUSE EU 2016 Probability Plots as an Instrument for Comparing Distributions Holger Langkabel source
presentation source		 9
MWSUG 2016 Fitting Complex Statistical Models with PROCs NLMIXED and MCMC Robin High 16
MWSUG 2016 The Power of Cumulative Distribution Function (CDF) Plot in Assessing Clinical Outcomes Min Chen,
Patricia Kultgen		 6
WUSS 2016 Distance Correlation for Vectors: A SAS Macro Thomas E. Billings source 15
WUSS 2016 Short Introduction to Reliability Engineering and PROC RELIABILITY to Non-Engineers Danny Rithy source 7
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
PharmaSUG 2015 Picture this: Hands-on SAS Graphics Session Kriss Harris source 14
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS Betty Johanna Garzon Rozo source 20
SGF 2015 Practical Applications of SAS Simulation Studio Edward P. Hughes,
Emily Lada		 source 11
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 Survey Sample Designs for Auditing, Fraud, and Forensics. Turner Bond source 13
SGF 2015 Ten Tips for Simulating Data with SAS Rick Wicklin source
zip		 15
SGF 2015 The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT Denys Osipenko,
Jonathan Crook		 source 19
SGF 2015 Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC Machiel Kruger source 16
SESUG 2014 Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson		 source 18
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
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 An Investigation of the Kolmogorov-Smirnov Nonparametric Test Using SAS Tison Bolen,
Dawit Mulugeta,
Jason Greenfield,
Lisa Conley		 source 8
SGF 2014 Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries Mahesh V. Joshi,
Jan Chvosta		 source
zip		 20
WUSS 2013 User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement Melissa McTernan,
Shelley A. Blozis		 source 4
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
NESUG 2012 A Model for Extreme Stacking of Data at Endpoints of a Distribution Robert J. Gallop 8
MWSUG 2012 Estimating the discrete probability distribution of the age characteristic of Veteran populations using SAS, SAS/OR and SAS Simulation Studio for use in population projection models Michael C. Grierson 15
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
SGF 2011 Logit Models in Practice: B, C, E, G, M, N, O, ... Joseph C. Gardiner,
Zhehui Luo		 source 20
SGF 2011 Modeling Financial Risk Factor Correlation with the COPULA Procedure Jan Chvosta,
Donald Erdman,
Mark Little		 source 14
SGF 2011 New Features in SAS/OR 9.3 Edward P. Hughes,
Manoj Chari		 source 16
SGF 2011 Scenario and Stress Testing Using SAS/IML Dmytro Korol,
Dmitry Donin,
Mykola Tkachenko		 source 12
NESUG 2010 Multiple Methods in JMP to Interact with R Matthew J. Flynn 18
MWSUG 2010 Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default Valentin Todorov,
Douglas Thompson		 11
SGF 2010 Investigating the Impact of Medicare Part D on Diabetes Medications Using SAS Enterprise Miner and Survival Analysis Xiao Wang source 13
SGF 2010 Modeling the Severity of Random Events with the SAS/ETS SEVERITY Procedure Mahesh V. Joshi source 20
NESUG 2009 Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 12
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
PharmaSUG 2008 The Power of PROC GPLOT in Statistical Analysis of Clinical Studies Aiming Yang 13
SGF 2008 Generalizing Google's PageRank to Rank National Football League Teams Anjela Govan,
Carl Meyer,
Russell Albright		 source 11
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 Raising the Bar in Generating Bar Charts and More: A Push-of-the-Button Approach in SAS Rita Tsang source 15
SGF 2008 Use of Text Mining to Predict Patient Compliance Christiana Petrou source 15
SGF 2008 Zero-Inflated Poisson and Zero-Inflated Negative Binomial Models Using the COUNTREG Procedure Donald Erdman,
Arthur V. Sinko		 source 11
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
SUGI 2006 An Application of Survival Analysis to Population Dynamics in Human Capital Management Martin B. Jetton,
Robert Yerex		 source 9
PHUSE EU 2005 Power calculation of non-inferiority trials assuming poisson distributions Corinna Miede,
Jochen Müller-Cohrs		 source 11
MWSUG 2005 Medicare Cost Estimation For Heart Disease Fariba Nowrouzi 11
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
NESUG 2005 Predictive Modeling Using Survival Analysis Vadim Pliner 10
SUGI 2005 Power Simulation for Categorical Data Using the RANTBL Function Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness		 source 12
SUGI 2005 Predicting Customer Value Will Potts source 6
SESUG 2004 Quality of Life Analysis for Patients Receiving Heart Implants David Nfodjo,
Christiana Petrou		 source 8
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
MWSUG 2004 Presenting the Binary Logit Model Effectively using SAS Hun Myoung Park 11
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
SESUG 2003 Methods of Dealing with Values Below the Limit of Detection using SAS Carry W. Croghan,
Peter P. Egeghy		 source 5
NESUG 2003 Using Cluster Analysis for Retail Portfolio Segmentation in an Economic Capital Model: Homogeneity by Common Default Behavior Over Time Shannon Kelly 12
SUGI 2003 Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
SCSUG 2002 Grading Efficiency Based On Gamma Distribution with SAS Procedures Dagan Zhang 8
SESUG 2002 Analysis of Dosage-Response Data in Agricultural Research K. Bondari source 6
WUSS 2002 Using SAS/IML to Create a Chi-squared Plot for Checking Normality Assumption in Multivariate Data Steven Hoff source 5
SEUGI 2002 Know whom your cusomers listen to - Scoring for marketing channels reception propensity [presentation] Pawel Gasiorowski,
Wojciech Latusek		 source 20
SEUGI 2002 Market risk estimation through modeling and visualizations in the SAS System [presentation] Jerzy Krawczuk source 9
WUSS 2001 A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
WUSS 2001 Estimating and Interpreting Ordered Regression Models using PROC PRINT Kenneth Fernandez source 5
SEUGI 2001 Chronographic Segmentation - a new life cycle approach to banking customer data analysis [presentation] Furio Camillo,
Stefano Zecchi		 source 22
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
NESUG 2000 Applying Survival Analysis Techniques to Loan Terminations for HUD's Reverse Mortgage Insurance Program - HECM Ming H. Chow 8
WUSS 2000 Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG Tyler C. Smith source 7
SUGI 2000 Calculating the Probability of Hospitalization as a Function of Time, An Application of Cox's Proportional Hazards Modeling Tyler C. Smith source 5
SUGI 2000 The Use of Kernel Density Estimators to Monitor Protocol Compliance Patricia B. Cerrito,
George R. Barnes		 source
WUSS 1999 Application of Threshold Models to the Detection of IgG and IgM Antibodies Louis Munyakazi source 4
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
WUSS 1999 Calculating the Probability of Hospitalization as a Function of Time Using the SAS System's PROC PHREG Tyler C. Smith source 5
NESUG 1999 Applying Familiar Non-Parametric Tests to Evaluation of Neural Network Inputs Susan B. Garavaglia 10
SEUGI 1999 MOSII - A new account system the for Dutch Social Security [presentation] Jan van der Leeuw source 19
WUSS 1998 Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems George C. J. Fernandez source 8
SEUGI 1998 A SAS/IML algorithm for maximum likelihood estimation in the Three Parameter Burr XII Distribution Alan John Watkins source 7
SEUGI 1998 Unpleasant data? A chance of powerful multi-variant analysis in clinical trials with data not meeting the conditions Thomas Bregenzer source 13
SUGI 1998 Bootstrapping the Standard Error of the Mediated Effect Chondra M. Lockwood,
David P. MacKinnon		 source 6
NESUG 1997 Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function Vadim Pliner 8
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
SEUGI 1997 Modelling of road deterioration including lifetime distribution and the Cox model Emmanuel Courilleau source 11
SUGI 1997 Let's Not Forget E-Mail Jack N. Shoemaker source 6
SUGI 1997 Statistical Methods for Reliability Data Using SAS Software William Q. Meeker,
Luis A. Escobar		 source 10
MWSUG 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 5
MWSUG 1996 Testing for and Correcting for Missing Data in Survey Responses: A Survey of Downtown Business in Minneapolis Shelly S. Baxter,
Lawrence C. Marsh		 10
SEUGI 1996 Backtesting or backestimating: an overview Gerhard Stahl source 7
SESUG 1995 Applications Development Exploring Inventory Models with SAS/Af' software FRAME Entry William H. Crouch,
Old Dominion		 5
NESUG 1994 Graphical Techniques for Evaluating "Nonnormal" Data Melissa A. Durfee 9
SEUGI 1994 Nonparametric Estimation of the Hazard Rate Statistical Methods, Examples and Software (un)availability Olaf Gefeller source 8
SUGI 1994 A Macro-Based Approach for Calculating Binomial Probabilities Daniel R. Bretheim source 6
SEUGI 1993 Exploratory Data Analysis Using SAS Software Gerhard Held source 11
SEUGI 1993 Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali Michel Tenehaus source 28
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SEUGI 1992 SAS Macros for Exact Methods in Nonparametrical Statistics Thomas Bregenzer source 12
SEUGI 1991 SAS/IML Modules for Kernel Estimation of the Hazard Function from Censored Data Olaf Gefellar source 7
SUGI 1991 Evaluating the Probability Distribution of the Sum of Independent Finite Integer-Valued Random Variables Daniel R. Jeske,
Thomas M. Willis,
Ying C. So		 source 6
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5
SUGI 1991 Regression on Medians of Probability Distributions Martha R. Sumler,
Henry L. Fisher,
Larry L. Hall		 source 6
NESUG 1990 Exact Nonparametric Inference: Theory, Applciations and Software Cyrus R. Mehta 16
SEUGI 1990 Estimating Distribution Functions with the SAS System J. Hefner,
Werner Bundschuh		 source 16
SEUGI 1990 Stratified Random Sampling from Finite Distribution for Continous Variables Karl Bousek source 13
SUGI 1990 Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC George W. Pasdirtz source 4
SUGI 1990 The Bootstrap and Jackknife Estimates of Variance: Two Resampling Techniques Using Release 6.03 of SAS/IML Software Margaret G. Hirsch,
Tamara R. Fischell		 source 5
SUGI 1990 The GLIM Procedure: An Interface to the SAS System P. M. Grambsch,
Jon L. Kosanke,
Terry M. Therneau,
D. J. Schaid,
R. Zinsmeister,
H.S. Wieand,
Kenneth P. Offord,
J. J. LarsonKeller		 source 5
SEUGI 1989 Goodness Of Fit Tests And Goodness Of Homogeneity Tests With The SAS System C. Derquenne source 11
SEUGI 1989 Realization Of Approximative And Exact Nonparametric Statistics In SAS/IML Software Siegfried Freytag source 10
SUGI 1989 A Concise and Easily Interpretable Way of Presenting the Results of Regression Analyses Stephen Senzer,
Leland Stewart		 source 4
SEUGI 1988 Size and Power of the Anderson-Hauck Test and the Double T-Test in Equivalence Problems Jochen Müller-Cohrs source 9
SUGI 1988 Forecasting as a Tool for Decision Making Joel Fingerman source 6
SUGI 1988 Predicting Equipment Failure Using Weibull Analysis and SAS Software Bruce Kay,
Douglas E. Price		 source 6
SUGI 1987 The Analysis of Mapped Spatial Point Patterns E. Barry Moser source 5
SUGI 1985 Implementing IMSL Routines as SAS Functions Michael Conlon source 2
SUGI 1984 A SAS Program for Non parametric Tests for Homogeneity of Dose Response Growth Curves Saeid B. Amini,
Kantilal M. Patel		 source 6
SUGI 1984 SAS Functions Useful for Probability Computations N. D. Prabhakar source 2
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 SAS: A Decision Support System for Management Raymond A. Gibley,
Heidi J. Schoen		 source 6
SUGI 1982 SAS/GRAPH and the Geometryof Statistical Distributions Charles F. Hofacker,
Paul Hoffman		 source 8
SUGI 1981 A Macro for Two-Population Nonparametric Univariate Discriminant Analysis William A. Blattner,
Donald J. Henderson		 source 6
SUGI 1981 A SAS Macro for Calculating the Quadratic Discriminant Function Charles S. Davis source 7
SUGI 1981 Probability Plotting in SAS Daniel M. Chilko,
E. James Harner,
Gerald R. Hobbs		 source 6
SUGI 1980 Box-Jenkins Time Series Method and Computer Packages Syed Shahabuddin source 5

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