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Applied Logistic Regression David W. Hosmer

Applied Logistic Regression By David W. Hosmer

Applied Logistic Regression by David W. Hosmer


Summary

Since the late 1960s the logistic regression (LR) model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This text offers an introduction to the LR model and examines its use in methods for modelling.

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Applied Logistic Regression Summary

Applied Logistic Regression by David W. Hosmer

From the reviews of the First Edition. An interesting, useful, and well-written book on logistic regression models ...Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references.-Choice Well written, clearly organized, and comprehensive ...the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models ...their careful explication of the quantitative re-expression of coefficients from these various models is excellent.-Contemporary Sociology An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical.-The Statistician In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

Applied Logistic Regression Reviews

...the revised text continues to provide a focused introduction to the logistic regression model and its use in methods for modelling... (Short Book Reviews, Vol. 21, No. 2, August 2001) In this revised and updated edition of the popular test, the authors incorporate theoretical and computing advances from the last decade. (Journal of the American Statistical Association, September 2001) ...an excellent book that balances many objectives well... All statistical practitioners...can benefit from this book...Applied Logistic Regression is an ideal choice. (Technometrics, February 2002) ...it remains an extremely valuable text for everyone working or teaching in fields like epidemiology... (Statistics in Medicine, No.21, 2002) ...The book is a classic, extremely well written, and it includes a variety of software packages and real examples... (The Statistician, Vol. 51, No.2, 2002)

About David W. Hosmer

DAVID W. HOSMER, PhD, is Professor of Biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts at Amherst. STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Director of the Biostatistics Program at The Ohio State University.

Table of Contents

Introduction to the Logistic Regression Model; Multiple Logistic Regression; Interpretation of the Fitted Logistic Regression Model; Model-Building Strategies and Methods for Logistic Regression; Assessing the Fit of the Model; Application of Logistic Regression with Different Sampling Models; Logistic Regression for Matched Case-Control Studies; Special Topics; References; Index.

Additional information

CIN0471356328VG
9780471356325
0471356328
Applied Logistic Regression by David W. Hosmer
Used - Very Good
Hardback
John Wiley and Sons Ltd
20000927
392
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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