ENGLISH

Applied logistic regression (Wiley Series in probability and statistics)

By David W. Hosmer , Stanley Lemeshow

Book information

Publisher
Wiley-Interscience Publication
Year
2000
ISBN
9780471356325, 0471356328
LCC
QA278.2 .H67 2000
Open Library ID
OL6784607M
Language
english
Format
PDF
Filesize
17 MB (18063996 bytes)
Series
Wiley Series in probability and statistics
Edition
2
Pages
397\397
Time added
2010-10-03 22:52:24

Description

Logistic regression is a very handy statistical tool. It does not demand much of the data (no need for variables to be normally distributed). Also, it can be used with dichotomous dependent variables. Multiple regression is often used for such purposes, but--technically--that might provide misleading results. This is one of the classic books outlining the use (and abuse) of logistic regression analysis. There are some features of logistic regression that are unfamiliar to those who have never used the technique before. This book describes the Wald statistic, pseudo r-square (designed to be something of an analogue to explained variation in multiple regression), goodness of fit measures (such as the eponymous Hosmer-Lemeshow test and chi square), logistic regression with more than two categories of the dependent variable, accuracy of predictions, and so on. This is one of the best works on the subject, and it has helped me make sense of the results when I use statistical software featuring logistic regression. If interested in the technique, this work will be a nice resource.

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