SAS Survival Analysis Techniques for Medical Research (Google eBook)
If you are new to survival analysis or want to expand your capabilities in this area, you'll benefit from Alan Cantor's follow-up to Extending SAS Survival Analysis Techniques for Medical Research. This second edition presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described. New features include a discussion of permutation and randomization tests; a discussion of the use of data imputation; an expanded discussion of power for Cox regression; descriptions of the new features of SAS 9, such as confidence bands for the Kaplan-Meier curve; appendixes that cover mathematical and statistical background topics needed in survival analysis; and student exercises. The new features, along with several useful macros and numerous examples, make this a suitable textbook for a course in survival analysis for biostatistics majors and majors in related fields. This book excels at presenting complex ideas in a way that enables those without a strong technical background to understand and apply the concepts and techniques.
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Chapter 2 Nonparametric Survival Function Estimation
Chapter 3 Nonparametric Comparison of Survival Distributions
Chapter 4 Proportional Hazards Regression
Chapter 5 Parametric Methods
Appendix A Mathematical Concepts
&groupvar ˆ S(t Alan beta coefficient Breslow calculate Cantor Cary Censored Values censoring variable chapter Chi-Square ChiSq Clark coefficient confidence intervals consider Copyright covariance matrix cure rate data set DATA step default defined delta method described discussed estimated survival example exponential formula graph hazard function hazard ratio Kaplan-Meier estimate label log rank test maximum loglikelihood Medical Research melanoma method MODEL statement noprint normal distribution null hypothesis number at risk number of deaths observation option output p-value Parameter Estimates patients PROC IML PROC LIFEREG PROC LIFETEST PROC PHREG proc print proc sort proportional hazards assumption proportional hazards regression random variable sample SAS Institute Inc SAS System Second Edition specified standard error Survival Analysis Techniques survival curve survival data survival distributions survival function survival probabilities Techniques for Medical test statistic THETA[1 thickness treatment tumor ulcer variance vector Weibull zero