☆ Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) ê Download by º Stephen C Shiboski

☆ Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) ê Download by º Stephen C Shiboski 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 The Kindle version struggles with the formatting of math equations and isn t much cheaper albeit convenient than the hard copy I would seriously consider ordering the actual book if I hadn t already purchased the Kindle version.
Vittinghoff is very verbose in explanations of the methods within, but this is very useful to newcomers in the field The examples are robust and coded in a number of common statistical programming environments.
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.
One of the best books for beginners The text has good examples and detailed explanations