Unlock the insights hidden in your data
Uncover the answers to your business or research questions with SAS statistical analysis training through Live Web classes.View the comprehensive list of statistical analysis classes available.
Popular STAT courses now offered via Live Web:
Longitudinal Data Analysis with Discrete and Continuous Responses - This Level IV course is designed for epidemiologists, social scientists, physical scientists, and business analysts who want to analyze observational data collected over time. Learn to use PROC MIXED, PROC GENMOD, and PROC GLIMMIX to fit longitudinal models. This course consists of six half-day sessions over a two-week period. View schedule.Mixed Model Analysis Using the SAS System - Learn how to use the MIXED and NLMIXED procedures. Topics include applications of mixed models in basic designed experiments, hierarchal linear modeling, random coefficient regression, analysis of covariance, repeated measures data analysis and the concept of best linear unbiased predictor (BLUP). Issues associated with unbalanced data, zero variance parameter estimates and nonconvergence are also addressed. View schedule.
Survival Analysis Using the Proportional Hazards Model - Learn how to perform exploratory data analyses using survival curves, fit the proportional hazards model, handle time-dependent variables, and assess the fit of the model. This course is available in the classroom (2 days) or as a Live Web class (a series of 4 half-day sessions.) View schedule.
Foundation training, Live Web classes:
Statistics I: Introduction to ANOVA, Regression, and Logistic Regression - This Level II class is actually the prerequisite for most of the classes in the statistical analysis curriculum. View schedule.Categorical Data Analysis Using Logistic Regression - This Level III Live Web class is specifically designed for biostatisticians, epidemiologists, social scientists, physical scientists and others conducting scientific research who are analyzing categorical response data. This course is available in the classroom (3 days) or as a Live Web class (a series of 5 half-day sessions, presented over a few weeks). View schedule.
Statistics II: ANOVA and Regression - This Level III Live Web class is designed for data analysts or researchers who have a basic understanding of ANOVA and linear regression and are interested in learning more about fitting general linear models and interpreting the results. This course is available in the classroom (3 days) or as a Live Web class (a series of 5 half-day sessions). View schedule.
Special topics offered only via Live Web:
GEE Analyses Using the GENMOD Procedure - Are you working with longitudinal or clustered data? If you answered yes, there is likely some correlation between your observations and this will require special methods of statistical analysis. Generalized estimating equations or GEE models are a widely accepted technique for analyzing correlated observations. This course is offered as a half-day Live Web class. View schedule.Fitting Generalized Linear Mixed Models and Nonlinear Mixed Models Using the SAS System - Statistical models in which fixed and/or random effects enter nonlinearly are increasingly popular. Learn when and how to use the tools available in SAS to fit a generalized linear mixed model and a nonlinear mixed model to your data. This course is offered over three Live Web sessions of 3.5 hours each. View schedule.
Fitting Poisson Regression Models Using the GENMOD Procedure - If you need to analyze the number of occurrences or the rate of occurrence of an event, consider Poisson regression. Poisson regression models can be used for many situations, such as modeling the rate of insurance claims, colony counts for bacteria or viruses, the number of equipment failures, and the incidence of disease. This course is offered as a half-day Live Web class. View schedule.
Determining Power and Sample Size Using SAS/STAT Software - Learn how to estimate the parameters for a power analysis and how to choose the appropriate power for a study. Several statistical analyses will be addressed, along with techniques for customizing the graphics in power analysis. View schedule.
Statistical Analysis with the GLIMMIX Procedure - Looking for a comprehensive, yet easy-to-use procedure to fit a generalized linear mixed model? Learn how to use PROC GLIMMIX as the one-stop procedure for many statistical analyses. Discover how to use the straightforward syntax, new features and useful statements and options available with PROC GLIMMIX to make your job easier. View schedule.