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Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics) by David W. Hosmer Jr. (Author), Stanley Lemeshow (Author), Susanne May (Author). THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA-NOW IN A VALUABLE NEW EDITION.
Since publication of the first version practically a decade ago, analyses using time-to-event strategies have enhance considerably in all areas of scientific inquiry mainly as a result of model-building strategies available in fashionable statistical software program packages. Nevertheless, there was minimal protection in the out there literature to9 guide researchers, practitioners, and students who want to apply these methods to well being-associated areas of study. Utilized Survival Evaluation, Second Version offers a complete and up-to-date introduction to regression modeling for time-to-occasion knowledge in medical, epidemiological, biostatistical, and other health-related research.
This ebook locations a unique emphasis on the practical and up to date purposes of regression modeling slightly than the mathematical theory. It gives a clear and accessible presentation of modern modeling methods supplemented with actual-world examples and case studies. Key subjects covered include: variable selection, identification of the dimensions of continuous covariates, the role of interactions within the model, assessment of the match and mannequin assumptions, regression diagnostics, recurrent occasion fashions, frailty models, additive fashions, competing danger fashions, and missing data.
Features of the Second Version embrace:
Expanded protection of interactions and the covariate-adjusted survival features
Using the Worchester Coronary heart Attack Research as the principle modeling information sheet for illustrating mentioned ideas and techniques
New dialogue of variable selection with multivariable fractional polynomials
Additional exploration of time-varying covariates, complicated with examples
Additional treatment of the exponential, Weibull, and log-logistic parametric regression fashions
Increased emphasis on deciphering and using results as well as utilizing multiple imputation methods to investigate data with lacking values
New examples and exercises on the end of every chapter
Analyses throughout the text are carried out using Stata® Model 9, and an accompanying FTP website comprises the information units used in the book. Utilized Survival Analysis, Second Edition is a perfect e-book for graduate-stage programs in biostatistics, statistics, and epidemiologic methods. It additionally serves as a valuable reference for practitioners and researchers in any health-associated field or for professionals in insurance and government.
I enjoyed the authors' e-book on logistic regression analysis in 1989, and this guide is just nearly as good, or higher, with many extremely sensible solutions on building regression models for survival data. Happily, the authors summarize, evaluate, and distinction a number of the major texts on survival evaluation which have appeared previously 10 years. For instance, they discuss totally different names used by different authors for score residuals. They present a useful appendix on the counting process approach to survival analysis, which is able to make more advanced texts accessible to college students; thus, anyone who desires to make use of survival analysis, at any stage, should seek the advice of this ebook, even if he has already studied books by Miller, Lee, Collett, Fleming-Harington, Andersen, et al, etc. An unfortunate downside to this e book is that the first printing comprises many careless errors, a few of which may have an effect on pupil studying: for example, the definition of a survival perform is misstated. I like to recommend that you just insist on the second or third printing when buying this book, and you may be fairly satisfied.
Applied Survival Analysis: Regression Modeling of Time to Event Data
(Wiley Series in Probability and Statistics)
David W. Hosmer Jr.
(Author), Stanley Lemeshow (Author), Susanne May (Author)
416 pages
Wiley-Interscience; 2 edition (March 7, 2008)
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