[PDF.09bi] Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

[PDF.im18] Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch epub
Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch pdf download
Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch pdf file
Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch audiobook
Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch book review
Regression Methods in Biostatistics:  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch summary

 | #253711 in Books |  Springer |  2011-09-01 | Original language:English | PDF # 1 |  9.21 x1.13 x6.14l,2.05 | File type: PDF | 512 pages

 | 

---

||2 of 2 people found the following review helpful.| Very Good Explications + Analytic Explanations|By Jonathan Newman|Overall a very excellent, broad yet detailed overview of regression and statistical methods for parsing meaning and substance from different epidemiologic and/or other health-related investigations. One caveat: the writing is extremely verbose and geared toward analytic, mathematical parsing of meaning in context| ||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

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 ...

You can specify the type of files you want, for your gadget.Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)   |  Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch. A good, fresh read, highly recommended.

Download Now