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poisson regression

86 papers and 6 presentations; 74 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
MWSUG 2025 An analysis of Emergency Department Visits for the 10 Health Division Regions across the US during the period 2018 2025 [presentation] Baoyuan Zhou source 24
SESUG 2025 The GENMOD Toolkit: What do you do when things aren't Normal? Danny R. Modlin 36
WUSS 2025 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
MWSUG 2024 What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol		 source 16
SESUG 2024 A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods Muslihat Adejoke Gaffari source 43
SGF 2020 Analyzing Non-normal Data: Application to Missing Data Problems Niloofar Ramezani source 10
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 Model-Based Risk-Adjustment in Clinical Outcome Research Jiming Fang,
Feng Qiu		 source 10
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SESUG 2019 Regression Models for Count Data Jason Brinkley source 8
SGF 2019 Monitoring the Relevance of Predictors for a Model Over Time Ming-Long Lam source 16
PHUSE US 2019 Using Count-based Statistical Models for Key Performance Indicators, Risk Metrics, etc. [presentation] Aaron Mackey source 15
SESUG 2018 Regression Models for Count Data Jason Brinkley source 8
WUSS 2018 Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker		 source 17
PharmaSUG 2018 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
SGF 2018 Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER John M. Castelloe source 17
MWSUG 2017 Unconventional Statistical Models with the NLMIXED Procedure Robin High 14
SGF 2017 %SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure Alan Ricardo da Silva source 28
SGF 2017 Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure Darcy Morris source 6
PharmaSUG 2016 Simulation of Data using the SAS System, Tools for Learning and Experimentation Kevin R. Viel,
Bevan K. Youse		 source 11
SGF 2016 Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? Violeta Balinskaite source 9
PHUSE EU 2015 How to Reduce Bias in the Estimates of Count Data Regression Ashwini Joshi,
Sumit Singh		 source
presentation source		 10
SESUG 2015 Adaptive Fractional Polynomial Modeling in SAS George J. Knafl source 10
SGF 2015 Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent Robert Feyerharm source 10
SGF 2015 When Two Are Better Than One: Fitting Two-Part Models Using SAS Laura Kapitula source 9
WUSS 2013 Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies Kechen Zhao source 14
SESUG 2013 Comparing SAS PROC MI and IVEware Callable Software Bruno Vizcarra,
Amang Sukasih		 source 11
SESUG 2013 Fit Discrete Distributions via SAS Macro Fit Discrete Distributions source 5
SGF 2013 Demand Forecasting Using a Growth Model and Negative Binomial Regression Framework Cally Ong Yeru,
Michelle Cheong,
Murphy Choy		 source 17
SGF 2013 Markov Chains and Zeros in My Data: Bayesian Approaches in SAS That Address Zero Inflation Matthew Russell source 9
SGF 2013 Using PROC GENMOD to Investigate Drug Interactions: Beta Blockers and Beta Agonists and Their Effect on Hospital Admissions Hui Fen Tan,
Raymond Gregory,
Ronald B. Low,
Shunsuke Ito,
Vann Dunn		 source 10
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
WUSS 2012 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
WUSS 2012 Using SAS to calculate incidence and prevalence rates in a dynamic population Li-Hao Chu,
Fagen Xie		 source 8
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
WUSS 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
WUSS 2011 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
MWSUG 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby 19
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
SGF 2011 Bivariate Count Data Regression Models: A SAS Macro Program Nan-Ting Chou,
David Steenhard		 source 10
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 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Up To Speed With Categorical Data Analysis Gary G. Koch,
Maura E. Stokes		 source 25
SGF 2011 Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study Jiming Fang source 11
NESUG 2010 An Animated Guide: An introduction to Poisson Regression Russell M. Lavery 17
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
WUSS 2010 The Next Generation: SAS/STAT 9.22 Robert N. Rodriguez source 20
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
SESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen		 source 20
SGF 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez		 source 20
MWSUG 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 13
SGF 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 source 13
SGF 2009 A Flexible Count Data Regression Model Using SAS PROC NLMIXED Nan-Ting Chou,
David Steenhard		 source 14
SGF 2009 A SAS Macro for Adaptive Regression Modeling George J. Knafl source 9
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
SGF 2008 Count Data Models in SAS Wensui Liu,
Jimmy Cela		 source 12
SGF 2008 Horizon Estimation Using SAS Software Gary A. Foster,
Charles Goldsmith		 source 9
SGF 2008 Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion Adrienne Tin source 11
SGF 2008 Zero-Inflated Poisson and Zero-Inflated Negative Binomial Models Using the COUNTREG Procedure Donald Erdman,
Arthur V. Sinko		 source 11
NESUG 2007 Butting Heads on Matched Cohort Analysis Using SAS Software Melvin T. Alexander 12
NESUG 2007 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
SGF 2007 Critical Success Factors for Rate Making with SAS Enterprise Miner Hrushikesh Khopkar,
Jay King		 source 17
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
NESUG 2006 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2004 Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events Gary G. Koch,
Maura E. Stokes		 source 21
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
NESUG 2000 Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes Li wan Chen 7
SEUGI 2000 SAS Software for the Analysis of Epidemiologic Data [presentation] Hans-Peter Altenburg source 39
SEUGI 2000 The Disease Registry Application [presentation] Deborah Allon,
Paul Nicholson		 source 3
SUGI 2000 Using Propensity Scores to Adjust for Group Differences: Examples Comparing Alternative Surgical Methods David J. Pasta source 7
WUSS 1999 Application of Poisson Model in Non-Market Valuation: Cave Rock Climbing Data Analysis Using SAS Macros Yuanfang Lin source 5
NESUG 1999 The missing link: PROC GENMOD Margaret Ann Goetz 3
SUGI 1999 Poisson Regression Adjustment of Event Rates and Its Macro Procedure ADJ_POIS Dingyi Zhao source 6
WUSS 1998 Controlling for Group Differences and Counting Rare Events: Propensity Scores with PROC CATMOD and Poisson Regression with PROC GENMOD Stefanie J. Silva,
Lori Potter		 source 5
SEUGI 1998 Survival analysis models in health care and their use for predictions of mortality Jifi Vondracek,
Keith Binks,
Krystof Eben		 source 6
SEUGI 1997 Weighted Poisson Analysis à la Goodman using SAS software Rian Vogelesang source 14
SESUG 1996 sl4tistia Dale Preston 7
NESUG 1996 Forecasting Business Failures Using a Poisson Regression Model Vasanthakumar Bhat 5
WUSS 1995 Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions Jennifer Lee,
Chul W. Ahn		 source 3
SUGI 1995 A Primer on Poisson Regression using SAS/STAT Software Methods and Interpretation of Results Richard McNally source 4
SUGI 1994 Log Negative Binomial Regression Using the GENMOD Procedure SAS/STAT Software Joseph M. Hilbe source 6
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SUGI 1984 A Macro for Fitting Nonlinear Models to Poisson Distributed Data Edward L. Frome,
Richard W. McLain		 source 6

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