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negative binomial distribution

18 papers and 2 presentations; 17 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
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
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
SESUG 2018 Regression Models for Count Data Jason Brinkley source 8
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
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 2016 A SAS Macro for Geographically Weighted Negative Binomial Regression Alan Ricardo da Silva,
Thais Rodrigues		 source
zip		 20
SESUG 2014 Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization Jennifer Mann,
Jason Brinkley,
Pamela Larson		 source 7
SESUG 2013 Comparisons of SAS Mixed and Fixed Effects Modeling for Observed over Expected Count Outcomes in the Presence of Hierarchical or Clustered Data Rachel E. Patzer source 9
SGF 2013 Demand Forecasting Using a Growth Model and Negative Binomial Regression Framework Cally Ong Yeru,
Michelle Cheong,
Murphy Choy		 source 17
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
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 Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion Adrienne Tin source 11
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SUGI 1983 PROC DISCRETE-A Procedure for Fitting Discrete Probability Distributions Charles E. Gates,
James P. Geaghan,
George D. Williams		 source 4

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