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poisson distribution

255 papers and 10 presentations; 232 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
PHUSE US 2026 Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience Daryna Teteriuk source
presentation source		 12
PHUSE APAC 2026 Annualized Relapse Rate and Clinical Profiles in South Korean Multiple Sclerosis Patients: A Sample Cohort Study Using Korean National Health Insurance Data Seongjun Byun,
Jisuk Jo		 source
presentation source		 8
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
MWSUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin source 57
SESUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin 57
SESUG 2025 The GENMOD Toolkit: What do you do when things aren't Normal? Danny R. Modlin 36
WUSS 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] Danny R. Modlin source 57
WUSS 2025 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
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
WUSS 2024 Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System Jesse Albert Canchola source 13
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SESUG 2020 Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students Abbas S. Tavakoli source 13
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
SGF 2020 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
SGF 2020 Using SAS OpRisk Global Data to Improve Decision-Making at a Bank Mentje Gericke,
Helgard Raubenheimer		 source 17
PharmaSUG 2020 Implementing Quality Tolerance Limits at a Large Pharmaceutical Company Steven A. Gilbert source 13
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
SESUG 2019 Regression Models for Count Data Jason Brinkley source 8
WUSS 2019 Using convergence status in a macro to iterate through a series of models Kristi Busico Metzger source 8
SGF 2019 Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models Amy Shi,
Fang K. Chen		 source 20
SGF 2019 Monitoring the Relevance of Predictors for a Model Over Time Ming-Long Lam source 16
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
PHUSE EU 2018 Implementing Advanced Analytics and Machine Learning in Risk-based Strategies Rajneesh Patil source
presentation source		 3
SESUG 2018 Regression Models for Count Data Jason Brinkley source 8
WUSS 2018 Name that Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to be MISSING Out Arthur L. Carpenter source 12
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 Economic Capital Modeling with SAS Econometrics Mahesh V. Joshi source 19
SGF 2018 Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER John M. Castelloe source 17
SGF 2018 Regression Model Building for Large, Complex Data with SAS Viya Procedures Weijie Cai,
Robert N. Rodriguez		 source 22
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
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
PharmaSUG 2017 Adverse Event Data over Time Kriss Harris source 11
PharmaSUG 2017 Translating Statistics into Knowledge by Examples Using SAS Graphic Procedures Tao Shu,
Jianfei Jiang		 source 11
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
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SGF 2017 Name That Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to MISS Out Ben Cochran,
Arthur L. Carpenter		 source 11
SGF 2017 Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide Luiz Carlos Leao source 20
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 Using PROC SEVERITY to Evaluate Quantile Approximation Techniques for Compound Distributions Helgard Raubenheimer,
Riaan de Jongh		 source 11
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
SESUG 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Robert N. Rodriguez source 23
MWSUG 2016 Fitting Complex Statistical Models with PROCs NLMIXED and MCMC Robin High 16
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
MWSUG 2016 Name that Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to be MISSING Out Ben Cochran,
Arthur L. Carpenter		 11
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
WUSS 2016 Introducing the HPGENSELECT Procedure: Model Selection for Generalized Linear Models and More Robert N. Rodriguez source 18
WUSS 2016 Simulating Queuing Models in SAS Danny Rithy source 14
WUSS 2016 Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software Robert N. Rodriguez source 23
PharmaSUG 2016 Name that Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to be MISSING Out Ben Cochran,
Arthur L. Carpenter		 source 10
PharmaSUG 2016 Simulation of Data using the SAS System, Tools for Learning and Experimentation Kevin R. Viel,
Bevan K. Youse		 source 11
SGF 2016 A SAS Macro for Geographically Weighted Negative Binomial Regression Alan Ricardo da Silva,
Thais Rodrigues		 source
zip		 20
SGF 2016 Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? Violeta Balinskaite source 9
SGF 2016 Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang		 source
presentation		 10
SGF 2016 Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED Raghavendra Kurada source 15
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 How Do My Neighbors Affect Me? SAS/ETS Methods for Spatial Econometric Modeling Guohui Wu,
Jan Chvosta		 source 13
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Bob Rodriguez source 23
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
SESUG 2015 High-Performance Procedures in SAS 9.4: Comparing Performance of HP and Legacy Procedures Jessica Montgomery,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Diep T. Nguyen,
Patricia Rodríguez de Gil,
Yan Wang		 source 10
PharmaSUG CN 2015 Use of SAS for Risk-Based Monitoring of Survival Endpoints and Adverse Event Data in Clinical Trials Zhizhuo Zhang,
Sichan Tang,
Ka Chun Chong,
Benny Chung-Ying Zee		 5
PharmaSUG 2015 Confidence Intervals Are a Programmer's Friend Xinxin Guo,
Zhaohui Su		 source 8
SGF 2015 A Model Family for Hierarchical Data with Combined Normal and Conjugate Random Effects [presentation] Geert Molenberghs source 54
SGF 2015 Analyzing Spatial Point Patterns Using the New SPP Procedure Pradeep Mohan,
Randy Tobias		 source 20
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro Paulo Silva,
Alan Ricardo da Silva		 source
zip		 16
SGF 2015 Introducing the HPGENSELECT Procedure: Model Selection for Generalized Linear Models and More Gordon Johnston,
Bob Rodriguez		 source 18
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
SESUG 2014 Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson		 source 18
SESUG 2014 Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization Jennifer Mann,
Jason Brinkley,
Pamela Larson		 source 7
PharmaSUG CN 2014 Compartmental Models in SAS: Application to Model Epidemics Ka Chun Chong,
Benny Chung-Ying Zee		 9
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
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 A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva		 source 19
SGF 2014 A Stepwise Algorithm for Generalized Linear Mixed Models Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh		 source 11
SGF 2014 Analysis of Data with Overdispersion Using SAS [presentation] Jorge Morel source 67
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software Joseph C. Gardiner source 19
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 Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies Kechen Zhao source 14
WUSS 2013 User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement Melissa McTernan,
Shelley A. Blozis		 source 4
SESUG 2013 Comparing SAS PROC MI and IVEware Callable Software Bruno Vizcarra,
Amang Sukasih		 source 11
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
SESUG 2013 Fit Discrete Distributions via SAS Macro Fit Discrete Distributions source 5
SESUG 2013 Introducing the New ADAPTIVEREG Procedure for Adaptive Regression Warren F,
Weijie Cai		 source 21
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
SGF 2013 Demand Forecasting Using a Growth Model and Negative Binomial Regression Framework Cally Ong Yeru,
Michelle Cheong,
Murphy Choy		 source 17
SGF 2013 High Performance Statistical Modeling Bob Rodriguez,
Robert A. Cohen		 source 19
SGF 2013 Introducing the New ADAPTIVEREG Procedure for Adaptive Regression Warren F. Kuhfeld,
Weijie Cai		 source 18
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 A Model for Extreme Stacking of Data at Endpoints of a Distribution Robert J. Gallop 8
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
PharmaSUG 2012 Estimating Risk in the Presence of Unreported Zeros in the Data Brandon Fleming source 7
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles Ling Huang source 7
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 Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City Ted Clay source 11
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
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 New Features in SAS/OR 9.3 Edward P. Hughes,
Manoj Chari		 source 16
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Perl Regular Expression in SAS Macro Programming Yanwei Zhang source 7
SGF 2011 Quantitative requirements for non-life insurance under Solvency 2 Sverre Grevskott source 8
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
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 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
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 Analysis of Survival Data with Recurrent Events Using SAS Rena Jie Sun,
Daniel T. Cotton		 source 8
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
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
WUSS 2009 Group Confidence Limit Plots Using PROC GPLOT and PROC SGPLOT Robert A. Rutledge source 10
SGF 2009 %QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares Hanjoo Kim,
Justine Shults		 source 12
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
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SCSUG 2008 Transaction Tracing Liang Xie 7
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
MWSUG 2008 Using Direct Standardization SAS Macro for a Valid Comparison in Observational Studies Daojun Mo,
Xia Li,
Alan Zimmermann		 11
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 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 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 Using PROC GENMOD to find a fair house insurance rate for the Norwegian market Sverre Grevskott,
Sten Sture		 source 9
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 Offset Techniques in Predictive Modeling for Insurance Matthew J. Flynn,
Jun Yan		 9
NESUG 2007 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
SGF 2007 A SAS Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding Julius Ta,
Myduc L. Atashili		 source 10
SGF 2007 Critical Success Factors for Rate Making with SAS Enterprise Miner Hrushikesh Khopkar,
Jay King		 source 17
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 Time to Failure in UPS Data Collector and UPS Thermal Printer Rebecca E Dennison 10
PHUSE EU 2006 Self-validating data Christof Binder source 7
SESUG 2006 ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival Andrew Karem source 18
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry Keiko I. Powers source 8
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
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
SUGI 2006 Biosurveillance and Outbreak Detection Using the ARIMA and LOGISTIC Procedures Ernest S. Shtatland source 8
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SESUG 2005 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 source 21
PHUSE EU 2005 Power calculation of non-inferiority trials assuming poisson distributions Corinna Miede,
Jochen Müller-Cohrs		 source 11
MWSUG 2005 A Macro For The Calculation Of Age, Gender And Race Adjusted Incidence And Mortality Rates Padmini Sekar 12
WUSS 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
NESUG 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger 20
SUGI 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
NESUG 2004 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 17
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
SUGI 2004 Bayesian Model Averaging Using SAS Software Melissa Whitney,
Ngo Long		 source 9
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser 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
NESUG 2003 A SAS Program for Estimating Incidence Density for Cohort Studies with Multiple Follow-ups Jinbing Zhang,
Xiaofang Yu		 5
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
NESUG 2001 Design and Validation of a Program for Random Drug Testing Donald T. Gantz 9
SESUG 2001 Understanding and Using Functions Frank C. DiIorio source 8
SCSUG 2001 Understanding and Using Functions Frank C. DiIorio 8
SEUGI 2001 Data Mining as Method to Streamline the Drug Discovery Process [presentation] Markus Duerring source 20
PharmaSUG 2001 Fitting Generalized Additive Models with the GAM Procedure Dong Xiang 8
SUGI 2001 A Reader's Guide toVisualizing Categorical Data Michael Friendly source 8
SUGI 2001 A SAS Program for the Computation of Seroconversion Rates in a Prospective Study of HIV Discordant Couples in Lusaka, Zambia Ilene K. Brill,
Maurizio Macaluso,
Jareen K. Meinzen-Derr,
Susan A. Allen		 source 7
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Fitting Generalized Additive Models with the GAM Procedure Dong Xiang source 8
SUGI 2001 Model Fitting in PROC GENMOD Jean G. Orelien source 6
SCSUG 2000 Dynamic, Data-Driven, Web-Based Applications to Satisfy an Ever Changing World Bernard R. Poisson 7
SESUG 2000 A SAS Program for the Computation of Seroconversion Rates in a Prospective Study of HIV Discordant Couples in Lusaka, Zambia Ilene Brill,
Maurizio Macaluso,
Jareen K. Meinzen-Derr,
Susan Allen		 source 7
NESUG 2000 Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes Li wan Chen 7
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
SEUGI 2000 Credit Risk Measurement for a Bank Loans Portfolio Emiliano Laruccia,
Valter Lazzari		 source 11
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 An Application for the Analysis and Visualization of Disease Incidence Data Paul Nicholson,
Deborah Allon,
Estelle A. Gilman		 source 9
SUGI 2000 The Anatomy of a Report: A Macro Driven Approach Diane E. Brown source 10
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
SEUGI 1999 An application for the analysis and visualisation of disease incidence data Deborah Allon,
Estelle Gilman,
Paul Nicholson		 source 9
SUGI 1999 Modeling Event Count Data with PROC GENMOD and the SAS System Matthew J. Flynn source 6
SUGI 1999 Poisson Regression Adjustment of Event Rates and Its Macro Procedure ADJ_POIS Dingyi Zhao source 6
WUSS 1998 A Non-Linear Calibration Problem in an Enzyme Linked Immunosorbent Assay Louis Munyakazi source 4
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
NESUG 1998 Acceptance Testing of a Large Distributed Information System Using Statistical Resampling Donald T. Gantz 10
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
SEUGI 1998 Survival analysis models in health care and their use for predictions of mortality Jifi Vondracek,
Keith Binks,
Krystof Eben		 source 6
SUGI 1998 Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions Jose G. Ramirez,
Brenda S. Cantell,
Randall S. Collica		 source 7
WUSS 1997 Analysis of Designed Experiments Using SAS PROC GENMOD Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis		 source 6
WUSS 1997 Monte Carlo Simulation Approach to Assess Health Care Claims Risk Zhirong Mao source 4
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SEUGI 1997 Analysing the incidence of Leukaemia in England and Wales David Rowland,
Deborah Allon,
Paul Nicholson,
Richard McNally		 source 9
SEUGI 1997 Weighted Poisson Analysis à la Goodman using SAS software Rian Vogelesang source 14
SUGI 1997 Using SAS Software to Compute Variances for Poisson Samples Terry L. Pennington source 6
SESUG 1996 sl4tistia Dale Preston 7
NESUG 1996 Forecasting Business Failures Using a Poisson Regression Model Vasanthakumar Bhat 5
NESUG 1996 Using SAS to Compute Variances For Poisson Samples Terry L. Pennington 6
MWSUG 1996 Applying Generalized Linear Models to Discrete Response Data Using the SAS System Maura E. Stokes 2
SEUGI 1996 Diagnostics and estimation procedures of quantitative dose response relationships using SAS ... Hans-Peter Altenburg source 8
SEUGI 1996 Procedures for planning and analysing experiments and surveys Dieter Rasch source 8
SUGI 1996 Repeated Measures Analysis with Discrete Data Using the SAS System Gordon Johnston source 5
MWSUG 1995 SAS Macros for Exact Confidence Limits Richard L. Berg 6
WUSS 1995 Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions Jennifer Lee,
Chul W. Ahn		 source 3
SEUGI 1995 The SAS Application for Road Safety Analysis Marzena Nowakowska source 8
SUGI 1995 A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses Nancy McDermott,
Cynthia White		 source 6
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
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SEUGI 1992 Experiences from Using the SAS System in a Large Consumption Simulation Study Timo Alanko source 11
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
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
MWSUG 1990 The Pair Chart Macro: A quick Graphical Representation of the Two-Sample Problem Michael Riggs 10
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
SUGI 1989 Robust and Exploratory Analyses Automated E. James Harner,
Gerald R. Hobbs		 source 5
SUGI 1988 Spatial Pattern Analysis John M. LaBore source 6
SUGI 1987 Generating Sample Sizes for Hypergeometric Sampling. Plans Using SAS Software Melvin T. Alexander source 5
SUGI 1987 The Analysis of Mapped Spatial Point Patterns E. Barry Moser source 5
SEUGI 1986 Generalized Linear Models in SAS Using PROC GLM James Roger source 10
SUGI 1986 PERSONYRS: A SAS Procedure for Person Year Analyses Glenn A. Augustine,
Erik J. Bergstralh,
Jon L. Kosanke,
Kenneth P. Offord		 source 6
SUGI 1985 A SAS Procedure for Evaluating the Performance of Token Ring Local Area Networks Richard L. Gimarc,
James H. Smith		 source 8
SUGI 1985 A SAS Procedure for Smoothing Generalized Linear Models William J. Raynor Jr. source 6
SUGI 1985 A SAS Routine to Compute Minimum Sample Sizes for Single Attribute Sampling Plans Melvin T. Alexander source 4
SUGI 1985 Cumulative Sum (CUSUM) Control Schemes J.M. Lucas source 6
SUGI 1984 A Macro for Fitting Nonlinear Models to Poisson Distributed Data Edward L. Frome,
Richard W. McLain		 source 6
SUGI 1984 Developing A Computer Cost Distribution Method Using the MICS Data Base Anne N. Bluth,
Jean L. Waits		 source 6
SUGI 1984 SAS Functions Useful for Probability Computations N. D. Prabhakar source 2
SUGI 1983 A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing Gary G. Koch,
Maura E. Stokes		 source 6
SUGI 1983 PROC DISCRETE-A Procedure for Fitting Discrete Probability Distributions Charles E. Gates,
James P. Geaghan,
George D. Williams		 source 4
SUGI 1982 Graphics: An Important Tool for Communication in Epidemiology Edward L. Frome,
James R. Gray,
Donna Hollis Hudson		 source 7

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