Introduction, describing two way contingency tables, inference for two way contingency tables, models for binary response variables, Linear models, fitting log linear and logit models, building and applying Log linear models, Log linear logit models for ordinal variables, multinomial response models for matched pairs, analyzing repeated categorical response data, Logistic regression models and their analysis.

To introduce students with the situations in which data obtained is categorical. To enhance student’s knowledge to do statistical analysis of categorical data including basic and advanced techniques.

The students will be able to analyze contingency table data and make inference for two-way contingency tables. Students should have a broad view of the generalized linear model framework and has the concept to several model variations. The students will familiarize with logistic regression modeling and have the knowledge how to interpret these models.

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Book Title : Categorical Data Analysis

Author : Alan Agresti

Edition : Third

Publisher : John Wiley & sons, inc., Punlication

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Book Title : Biostatistics A foundation for analysis in the health sciences

Author : WAYNE W. DANIEL

Edition : 9th edition

Publisher : John Wiley & sons, inc., Punlication

Title : Introduction to Categorical Data Analysis

Type : Presentation

View Introduction to Categorical Data Analysis

Title : Contingency Tables and Inference for Contingency Tables

Type : Presentation

View Contingency Tables and Inference for Contingency Tables

Title : Test for Independence

Type : Presentation

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Title : Test of Homogeneity

Type : Presentation

View Test of Homogeneity

Title : Mental Heanszel Test

Type : Presentation

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Title : Fisher Exact Test

Type : Presentation

View Fisher Exact Test

Title : Chochran Q Test

Type : Other

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Title : McNemar Test

Type : Presentation

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Title : Types of Studies

Type : Presentation

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Title : Relative Risk, Odds Ratio

Type : Presentation

View Relative Risk, Odds Ratio

Title : Biostatistics

Type : Reference Book

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Title : An introduction to Generalized Linear Models

Type : Reference Book

View An introduction to Generalized Linear Models

Title : Exponential Family of distribution

Type : Other

View Exponential Family of distribution

Title : Generalized Linear Models

Type : Other

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Title : Generalized Linear Models

Type : Presentation

View Generalized Linear Models

Title : Models for Analysis of Categorical Data

Type : Other

View Models for Analysis of Categorical Data

Title : Generalized Linear Models

Type : Presentation

View Generalized Linear Models

Title : Logistic Regression

Type : Presentation

View Logistic Regression

Title : logit and probit models

Type : Presentation

View logit and probit models

Title : Poisson Regression Model

Type : Presentation

View Poisson Regression Model

Title : The Exponential Family of Distributions

Type : Other

View The Exponential Family of Distributions