Advertisement

Logistic Regression

A Self-Learning Text

  • David G. Kleinbaum

Part of the Statistics in the Health sciences book series (SBH)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. David G. Kleinbaum
    Pages 1-38
  3. David G. Kleinbaum
    Pages 39-72
  4. David G. Kleinbaum
    Pages 73-99
  5. David G. Kleinbaum
    Pages 101-124
  6. David G. Kleinbaum
    Pages 161-189
  7. David G. Kleinbaum
    Pages 227-251
  8. Back Matter
    Pages 253-282

About this book

Introduction

This text on logistic regression methods contains the following eight chapters: 1 Introduction to Logistic Regression 2 Important Special Cases of the Logistic Model 3 Computing the Odds Ratio in Logistic Regression 4 Maximum Likelihood Techniques: An Overview 5 Statistical Inferences Using Maximum Likelihood Techniques 6 Modeling Strategy Guidelines 7 Modeling Strategy for Assessing Interaction and Confounding 8 Analysis of Matched Data Using Logistic Regression Each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that high­ light the main points, formulae, or examples being presented. The reader mayaiso purchase directly from the author audio-cassette tapes of each chapter. If you purchase the tapes, you may use the tape with the illustrations and formulae, ignoring the script. The use of the audiotape with the illustrations and formulae is intended to be similar to a lecture. An audio cassette player is the only equipment required. Tapes may be obtained by writing or calling the author at the following address: Depart­ ment of Epidemiology, School of Public Health, Emory University, 1599 Clifton Rd. N. E. , Atlanta, GA 30333, phone (404) 727-9667. This text is intended for self-study.

Keywords

class design likelihood logistic regression presentation statistical inference tool

Authors and affiliations

  • David G. Kleinbaum
    • 1
  1. 1.Department of EpidemiologyEmory UniversityAtlantaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-4108-7
  • Copyright Information Springer-Verlag New York 1994
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-4110-0
  • Online ISBN 978-1-4757-4108-7
  • Series Print ISSN 1431-8776
  • Buy this book on publisher's site