Applied logistic regression / David W. Hosmer, Jr., Stanley Lemeshow. . When we worked on the First Edition of this book we were very lim-. "An interesting, useful, and well-written book on logistic regression models Hosmer and Lemeshow have used very little mathematics, have. sturunemcoto.ml: Applied Logistic Regression (Wiley Series in Probability and Statistics) (): David W. Hosmer, Stanley Lemeshow: Books.
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sturunemcoto.ml: Practical Guide to Logistic Regression (): Joseph M. Hilbe: Books. A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides . Hosmer and Lemeshow's (later eds. also Sturdivant) Applied Logistic Regression .
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FAQ Policy. About this Textbook This very popular textbook is now in its third edition. The new chapters are: Show all.
From the reviews of the third edition: The left-hand column is like a collection of PowerPoint slides, including generic-style computer output and diagrams to visualize the relationship between concepts. Each chapter contains about 10 exercises, some routine calculation and some asking for explanation of particular points.
Answers are provided immediately. Some coverage is also given of random-effects models for correlated binary data.
Models for ordinal outcomes are also covered briefly. Another very nice book on modelling binary outcomes.
It's a great book, starting with a historical perspective on the development of GLMs from linear models and the analysis of variance, before developing the GLM framework. Models for ordered and unordered categorical outcomes are covered, log-linear models for joint models for contingency table data, and even models for survival data.
It is a much more formal presentation compared to the other books listed here, and so in that sense may be less attractive to applied researchers. Furthermore, since it is now quite old , it necessarily doesn't include some of the newer developments which have been made in the following 25 years.
Nevertheless, it arguably remains the definitive text book on GLMs. I personally find Dobson's book very readable. 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.
All statistical practitioners Applied Logistic Regression is an ideal choice. The book is a classic, extremely well written, and it includes a variety of software packages and real examples Please check your email for instructions on resetting your password.
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If the address matches an existing account you will receive an email with instructions to retrieve your username. Skip to Main Content. David W.