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Regression Analysis by Example

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TLDR
Simple linear regression Multiple linear regression Regression Diagnostics: Detection of Model Violations Qualitative Variables as Predictors Transformation of Variables Weighted Least Squares The Problem of Correlated Errors Analysis of Collinear Data Biased Estimation of Regression Coefficients Variable Selection Procedures Logistic Regression Appendix References as discussed by the authors
Abstract
Simple Linear Regression Multiple Linear Regression Regression Diagnostics: Detection of Model Violations Qualitative Variables as Predictors Transformation of Variables Weighted Least Squares The Problem of Correlated Errors Analysis of Collinear Data Biased Estimation of Regression Coefficients Variable Selection Procedures Logistic Regression Appendix References Index.

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Regression Modeling Strategies

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Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models

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Confronting multicollinearity in ecological multiple regression

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Models of Consumer Satisfaction Formation : An Extension

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Microarray data normalization and transformation

John Quackenbush
- 01 Dec 2002 - 
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