×


 x 

Shopping cart
Eric Vittinghoff - Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models - 9781461413523 - V9781461413523
Stock image for illustration purposes only - book cover, edition or condition may vary.

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models

€ 101.47
€ 101.41
FREE Delivery in Ireland
Description for Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models Hardback. This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas. Series: Statistics for Biology and Health. Num Pages: 512 pages, 178 black & white tables, biography. BIC Classification: MBNS; MBPM; PS. Category: (P) Professional & Vocational. Dimension: 238 x 166 x 36. Weight in Grams: 910.

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction ... Read more

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Show Less

Product Details

Publisher
Springer-Verlag New York Inc.
Format
Hardback
Publication date
2011
Series
Statistics for Biology and Health
Condition
New
Number of Pages
509
Place of Publication
New York, NY, United States
ISBN
9781461413523
SKU
V9781461413523
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Eric Vittinghoff
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models ... Read more

Reviews for Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models
From the reviews: "This book provides a unified introduction to the regression methods listed in the title...The methods are well illustrated by data drawn from medical studies...A real strength of this book is the careful discussion of issues common to all of the multipredictor methods covered." Journal of Biopharmaceutical Statistics, 2005 "This book is not just ... Read more

Goodreads reviews for Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models


Subscribe to our newsletter

News on special offers, signed editions & more!