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Multiple Regression with Discrete Dependent Variables

John G. Orme and Terri Combs-Orme

Published in print:
2009
Published Online:
May 2009
ISBN:
9780195329452
eISBN:
9780199864812
Item type:
book
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195329452.001.0001
Subject:
Social Work, Research and Evaluation

This book presents detailed discussions of regression models that are appropriate for discrete dependent variables, including dichotomous, polychotomous, ordered, and count variables. The major ... More


Introduction to Regression Modeling Introduction to Regression Modeling

John G. Orme and Terri Combs-Orme

in Multiple Regression with Discrete Dependent Variables

Published in print:
2009
Published Online:
May 2009
ISBN:
9780195329452
eISBN:
9780199864812
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195329452.003.0001
Subject:
Social Work, Research and Evaluation

This chapter is a brief review of some major concepts of linear regression, presented in the context of simple examples using both dichotomous and continuous independent variables. The chapter ... More


Regression with a Dichotomous Dependent Variable Regression with a Dichotomous Dependent Variable

John G. Orme and Terri Combs-Orme

in Multiple Regression with Discrete Dependent Variables

Published in print:
2009
Published Online:
May 2009
ISBN:
9780195329452
eISBN:
9780199864812
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195329452.003.0002
Subject:
Social Work, Research and Evaluation

This chapter describes the use of binary logistic regression (also known simply as logistic or logit regression), a versatile and popular method for modeling relationships between a dichotomous ... More


Maximum Likelihood and Generalized Linear Models

Andy Hector

in The New Statistics with R: An Introduction for Biologists

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.003.0008
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

This chapter revisits a regression analysis to explore the normal least squares assumption of approximately equal variance. It also considers some of the data transformations that can be used to ... More


Generalized Linear Models for Data with Non-Normal Distributions

Andy Hector

in The New Statistics with R: An Introduction for Biologists

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.003.0009
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

This chapter looks at three of the main types of generalized linear model (GLM). GLMs using the Poisson distribution are a good starting place when dealing with integer count data. The default log ... More


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