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020 _a9781597181747
040 _aMAIN
_bENG
_cMAIN
082 _a005.55
_bCLE
100 _aCleves, Mario Alberto,
_95332
245 _aAn introduction to survival analysis using Stata
250 _a3rd
260 _c2016.
_aCollege Station, Tex. :
_bStata Press,
300 _axi,428 p. :
_bill ;
_c23 cm.
_fP.B.
500 _aInclude Index
520 _a"An Introduction to Survival Analysis Using Stata, Third Edition provides new researchers with the foundation for understanding the various approaches for analyzing time-to-event data. This book serves as not only as a tutorial for learning survival analysis but also as a valuable reference for experienced researchers interested in using Stata to analyze survival data." "The book is written for professional researchers form all disciplines, including biostatistics, epidemiology, public health, medicine, sociology, economics, political science, engineering, and other fields where survival analysis is applicable. Although the book assumes knowledge of statistical principles, basic probability, and working knowledge of Stata, it is practical rather than mathematical in its approach to the subject. The reader of this book will come away not just with understanding of the formulas, but also with intuition of how the various survival analysis estimators work and what information they exploit. The reader will also come away with deeper and more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines." "The third edition has been updated to highlight the new features of Stata 11, in particular, competing-risks analysis and the treatment of missing values via multiple imputation. Among the other additions are new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining predictions and diagnostics after Cox regression.
650 _aSurvival analysis (Biometry)
_95333
650 _aStata
_95334
942 _2ddc
_cBK
999 _c11416
_d11416