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Author: Eric Vittinghoff David V. Glidden Stephen C. Shiboski Charles E. McCulloch
ISBN : 1461413524
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Download Free Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) [Hardcover] from 4shared, mediafire, hotfile, and mirror link
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 of causal effects in essentially the same way.
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.
Books with free ebook downloads available Free Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) [Hardcover]
- Series: Statistics for Biology and Health
- Hardcover: 550 pages
- Publisher: Springer; 2nd ed. 2012 edition (March 14, 2012)
- Language: English
- ISBN-10: 1461413524
- ISBN-13: 978-1461413523
- Product Dimensions: 1.5 x 6.3 x 9.2 inches
- Shipping Weight: 2.2 pounds (View shipping rates and policies)
Free Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models
You can actually read this book - which is surprising given the subject. I'm a grad student taking two Biostats courses for a master's degree. This book is great and conceptual.
By diorwithdolce