Fitting Poisson Regression Models Using the GENMOD Procedure

This course is for those who analyze the number of occurrences of an event or the rate of occurrence of an event as a function of some predictor variables. For example, the rate of insurance claims, colony counts for bacteria or viruses, the number of equipment failures, and the incidence of disease can be modeled using Poisson regression models. You will learn how to fit Poisson regression models for discrete counts and rates and how to assess the models for overdispersion. You will fit negative binomial regression models and also zero-inflated Poisson models and zero-inflated negative binomial models. After this course you will know how to perform model diagnostics with ODS graphics.

Ablauf der Live Web Class
Während der Live Web Class können sich die Teilnehmer direkt mit einem SAS Software Experten sowie den anderen Teilnehmern in "Echtzeit" austauschen. Präsentationen und interaktive Demonstrationen werden in den Live Web Classes mit Fragen und Antwort-Runden abgewechselt, so dass insgesamt eine Lernsituation mit einem hohen Maß an Interaktivität geboten ist.

Voraussetzungen
Before attending this course you should be able to execute SAS programs and create SAS data sets. You can gain this knowlegde by completing the course "SAS Programming 1: Grundlagen" (PRG1). You should be able to fit and interpret linear regression and logistic regression models. You can gain this knowledge by completing the course "Statistik 1: Varianzanalyse, Regression und logistische Regression" (ST193).

Zielgruppe
Biostatisticians, epidemiologists, social scientists, physical scientists, and business analysts

Module
SAS/STAT

Kursinhalte

• The Poisson Regression Model
  • introduction to Poisson regression
  • correction for overdispersion
• Applications of Poisson Regression Models
  • Poisson regression models for rates
  • zero-inflated Poisson models and zero-inflated negative binomial models
  • model diagnostics

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