Categorical Data Analysis Using Logistic Regression
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.
Virtual Training nebo e-Learning?
Máme dostatečnou flexibilitu, takže vybírat můžete jak prezenční termíny, tak online kurzy.
Zkuste živý kurz virtuálněTarget group
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
Course structure
Categorical Data and Contingency Table Analysis
- introduction to categorical data
- associations among categorical variables
- stratified contingency table analysis
Binary Logistic Regression
- introduction to logistic regression
- adding categorical predictors and the CLASS statement
Model Building
- empirical logit plots
- confounding and interactions
- automatic model selection
- variable clustering for variable reduction
- customized tests
Model Illustration and Assessment
- interaction illustration
- model sssessment
- ROC curves
- outlier detection
Multinomial Logistic Regression
- ordinal logistic regression
- nominal logistic regression
Advanced Topics
- correlated observations
- GEE regression models
- conditional logistic regression
- failure to converge and small samples
Prerequisites
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
Jak kurz hodnotí absolventi?
V čem jsou naše reference výjimečné? Nejsou to jednorázové akce. K nám se lidé vrací rádi a nezavírají před námi dveře.
Podívejte se na úplný seznam referenčních klientů, kteří na nás nedají dopustit.
Chcete to připravit na míru? Kontaktujte nás!
Zavolejte nám a my vám poradíme.
Jsme vám k dispozici na telefonním čísle +420 222 553 101 vždy od pondělí do pátku: 9:00 - 17:00.
Nemůžete volat? Zkuste nám napsat
Chcete získat dárek k narozeninám?
