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negative binomial regression

41 papers and 1 presentation; 36 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 TFL Generation Using R: Negative Binomial Regression Implementation and Comparison with SAS Ye Sun,
Jianchang Hu		 source 11
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
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 Piecewise Latent Growth Curve Models to Test for Discontinuities in Disease Prevalence Trends Lin Yan source 10
SESUG 2019 Regression Models for Count Data Jason Brinkley source 8
SGF 2019 Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure Robin High source 18
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
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
PHUSE EU 2017 Adverse Events Data Over Time Kriss Harris source
presentation source		 11
MWSUG 2017 Unconventional Statistical Models with the NLMIXED Procedure Robin High 14
PharmaSUG 2017 Adverse Event Data over Time Kriss Harris source 11
SGF 2017 A Practical Guide to Getting Started with Propensity Scores Thomas Gant source 10
SGF 2017 Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure Darcy Morris source 6
SGF 2016 A SAS Macro for Geographically Weighted Negative Binomial Regression Alan Ricardo da Silva,
Thais Rodrigues		 source
zip		 20
PHUSE EU 2015 How to Reduce Bias in the Estimates of Count Data Regression Ashwini Joshi,
Sumit Singh		 source
presentation source		 10
SGF 2015 When Two Are Better Than One: Fitting Two-Part Models Using SAS Laura Kapitula source 9
SESUG 2014 Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization Jennifer Mann,
Jason Brinkley,
Pamela Larson		 source 7
SGF 2014 A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva		 source 19
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 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
WUSS 2012 Using SAS to calculate incidence and prevalence rates in a dynamic population Li-Hao Chu,
Fagen Xie		 source 8
SGF 2011 Bivariate Count Data Regression Models: A SAS Macro Program Nan-Ting Chou,
David Steenhard		 source 10
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
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
SGF 2008 Count Data Models in SAS Wensui Liu,
Jimmy Cela		 source 12
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
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
MWSUG 2003 Parameter Estimation of a Negative Binomial for the By-product of the Gringard Reaction Ling Huang,
Paul W. Johnson		 4
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 1994 Log Negative Binomial Regression Using the GENMOD Procedure SAS/STAT Software Joseph M. Hilbe source 6

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