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Regression Models for Categorical and Count Data Peter Martin

Regression Models for Categorical and Count Data By Peter Martin

Regression Models for Categorical and Count Data by Peter Martin


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Summary

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin provides practical guidance on conducting regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help of illuminating graphs.

Regression Models for Categorical and Count Data Summary

Regression Models for Categorical and Count Data by Peter Martin

This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on:

* Using logistic regression models for binary, ordinal, and multinomial outcomes

* Applying count regression, including Poisson, negative binomial, and zero-inflated models

* Choosing the most appropriate model to use for your research

* The general principles of good statistical modelling in practice

Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey

About Peter Martin

Dr Peter Martin is Lecturer in Applied Statistics at University College London. He has taught statistics to students of sociology, psychology, epidemiology, and other disciplines since 2003. One of the joys of being a statistician is that it opens doors to research collaborations with many people in diverse fields. Dr Martin has been involved in investigations in life course research, survey methodology, and the analysis of racism. In recent years his research has focused on health inequalities, psychotherapy, and the evaluation of healthcare services. He has a particular interest in topics around mental health.

Table of Contents

Introduction Logistic regression Ordinal logistic regression: the generalised ordered logit model Multinomial logistic regression Regression models for count data The practice of modelling

Additional information

NGR9781529761269
9781529761269
1529761263
Regression Models for Categorical and Count Data by Peter Martin
New
Paperback
SAGE Publications Ltd
2022-04-09
272
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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