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This online course, will focus on a logistic regression approach for the analysis of contingency table data, where the cell entries represent counts that are cross-tabulated using categorical variables. Tests for (conditional) independence are discussed in the context of odds-ratios and relative risks, for both two-way and three-way data tables. After the ground work is laid for logistic regression models for binomial responses, more complex data structure will be introduced, e.g. those having more categorical variables or even continuous covariates.

Course Program:

  • Week1: Categorical Responses and Contingency Tables
  • Week 2: Generalized Linear Models
  • Week 3: Applications and Interpretations for Logistic Regression
  • Week 4: Building and Applying Logistic Regression Models

Important Date:

April 08, 2016 to May 06, 2016


4 Weeks

Time Requirement:

About 15 hours per week, at times of  your choosing.


INR 37,740 (assuming $ = INR 60)

Part Time/Full Time:

Part Time

Anyone who needs to analyze data in which the response is in yes/no or categorical form. Market researchers, medical researchers, surveyors, those who study education assessment data, quality control specialists, life scientists, environmental scientists, ecologists.

  • SAS
  • R
  • SPSS
  • Minitab
  • Stata
  • Brian Marx
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