This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical Graphics procedures used are PROC SGPLOT and PROC SGPANEL. The course is not designed for predictive modelers in business fields, although predictive modelers can benefit from the content of this course.
În urma acestui curs, veți învăța să
 use the FREQ procedure for preliminary analyses
 recognize when logistic regression is appropriate
 write code in the LOGISTIC procedure for binary, ordinal, and nominal logistic regression
 create effect plots and odds ratio plots using ODS Statistical Graphics
 create empirical logit plots
 eliminate redundancy in model effects using PROC VARCLUS
 use automatic model building options in PROC LOGISTIC
 assess models for fit and influential observations using PROC LOGISTIC
 assess functional form of the model effects using PROC GENMOD
 create ROC curves for measuring sensitivity and specificity
 perform exact and conditional logistic regression with PROC LOGISTIC
 analyze repeated and clustered data using Generalized Estimating Equations (GEE's) in the GENMOD procedure.
Cine ar trebui să participe la curs
Biostatisticians, epidemiologists, social scientists, and physical scientists who analyze categorical response data and predictive modelers who would like to learn more about the statistical background of logistic regression
Formate disponibile  Durata   
Curs Live Web: 
6 sesiune/sesiuni de o jumătate de zi 
eLearning: 
24 ore/180 zi/zile licență 

Before attending this course, you should
 have a working knowledge of statistical modeling, including concepts of regression, analysis of variance, and contingency table analysis, which you can obtain in the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course
 have an understanding of basic syntax in SAS procedures and DATA steps
 have experience in executing SAS programs and creating SAS data sets, which you can gain by completing the SAS Programming 1: Essentials course
 have experience analyzing frequency tables using SAS software
 have completed a course in statistics that covers linear regression and logistic regression, which you can achieve by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
Acest curs este despre SAS/STAT software.