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Handbook Of Regression And Modeling: Applications For The Clinical And Pharmaceutical Industries

Daryl S. Paulson

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Abstract

Basic Statistical Concepts Simple Linear Regression Special Problems in Simple Linear Regression: Determining x from y, Serial Correlation, and Curve Fitting Some Aspects and Examples in Constructing a Valid Simple Regression Study Multiple Linear Regression Correlation in Multiple Regression Issues in Multiple Linear Regression Polynomial Regression Special Topics in Multiple Regression Indicator (Dummy) Variable Regression Model Building/Model Selection Analysis of Covariance Logistic Regression Appendices

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Basic Statistical Concepts Simple Linear Regression Special Problems in Simple Linear Regression: Determining x from y, Serial Correlation, and Curve Fitting Some Aspects and Examples in Constructing a Valid Simple Regression Study Multiple Linear Regression Correlation in Multiple Regression Issues in Multiple Linear Regression Polynomial Regression Special Topics in Multiple Regression Indicator (Dummy) Variable Regression Model Building/Model Selection Analysis of Covariance Logistic Regression Appendices

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Basic Statistical Concepts Simple Linear Regression Special Problems in Simple Linear Regression: Determining x from y, Serial Correlation, and Curve Fitting Some Aspects and Examples in Constructing a Valid Simple Regression Study Multiple Linear Regression Correlation in Multiple Regression Issues in Multiple Linear Regression Polynomial Regression Special Topics in Multiple Regression Indicator (Dummy) Variable Regression Model Building/Model Selection Analysis of Covariance Logistic Regression Appendices

Key concepts: Proper linear model, Regression diagnostic, Polynomial regression, Simple linear regression, Segmented regression, Logistic regression, Linear regression, Statistics

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