Posts Tagged ‘analysis of variance sas’

Statistics II: ANOVA and Regression

Thursday, June 4th, 2009

Learn how to use the ODS Graphics facility and the new SG graphical procedures in SAS

More  detail  visit http://www.iisastr.com

Contact :9312506496

  • fit polymonial regression models using the REG procedure
  • select models based on several statistics and automatic model selection methods using PROC REG
  • evaluate model fit and model assumptions using the REG, GLM, GENMOD, and UNIVARIATE procedures
  • fit Poisson, negative binomial, and gamma regression models using the GENMOD procedure
  • perform analysis of variance using the GLM procedure
  • write CONTRAST and ESTIMATE statements in PROC GLM
  • fit regression models with dummy variables using PROC REG and ANCOVA models using PROC GLM
  • fit models with random effects using the MIXED procedure
  • create a variety of statistical graphs.

Course  duration :30 hours

fee :Rs 15,000/-

Course Content

Regression

  • building and evaluating multiple polynomial regression models
  • dealing with violations of model assumptions

Analysis of Variance

  • performing n-way ANOVA
  • interpreting significant interactions
  • writing CONTRAST and ESTIMATE statements
  • understanding issues associated with unbalanced data

Regression Using Indicator Variables and Analysis of Covariance

  • using and interpreting indicator variables in the REG procedure
  • building and interpreting analysis of covariance models using the GLM procedure
  • comparing regression using indicator variables with analysis of covariance

Generalized Linear Models

  • using the GENMOD procedure to fit Poisson, negative binomial, and gamma regression models

Linear Mixed Models

  • performing linear mixed model analysis

More  detail  visit http://www.iisastr.com

Contact :9312506496

Statistics I: Introduction to ANOVA, Regression, and Logistic Regression

Thursday, June 4th, 2009

More  detail  visit http://www.iisastr.com

Contact :9312506496

This course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t-tests, ANOVA, linear regression and logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.

Duration:30 hours

Fee : Rs 15,000/-

Course content

Introduction to Statistics

  • examining data distributions
  • obtaining and interpreting sample statistics using the UNIVARIATE and MEANS procedures
  • examining data distributions graphically in the UNIVARIATE and SGPLOT procedures
  • constructing confidence intervals
  • performing simple tests of hypothesis

t-Tests and Analysis of Variance

  • performing tests of differences between two group means using PROC TTEST
  • performing one-way ANOVA with the GLM procedure
  • performing post-hoc multiple comparisons tests in PROC GLM
  • performing two-way ANOVA with and without interactions

Linear Regression

  • producing correlations with the CORR procedure
  • fitting a simple linear regression model with the REG procedure
  • understanding the concepts of multiple regression
  • using automated model selection techniques in PROC REG to choose from among several candidate models
  • interpreting models

Linear Regression Diagnostics

  • examining residuals
  • investigating influential observations
  • assessing collinearity

Categorical Data Analysis

  • producing frequency tables with the FREQ procedure
  • examining tests for general and linear association using the FREQ procedure
  • understanding exact tests
  • understanding the concepts of logistic regression
  • fitting univariate and multivariate logistic regression models using the e LOGISTIC procedur

More  detail  visit http://www.iisastr.com

Contact :9312506496