Extending SAS Survival Analysis Techniques for Medical Research
Extending SAS Survival Analysis Techniques for Medical Research |
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by Alan Cantor
Attention all medical researchers, biostatisticians, and anyone involved with survival analysis! Discover new avenues of exploration with SAS software. Alan Cantor approaches survival analysis with numerous SAS programming macros, and his detailed illustrations guide you through each example. Presented in an informal task-oriented manner, this book speaks to the seasoned statistician and the SAS software user who works with medical research data. The main areas of concentration include the nature of survival data, Kaplan-Meier estimation, the log-rank test and its variants, Cox regression, the Mantel-Byar method, sample size and power calculations, and parameter (including cure rate) estimation. Read it from cover to cover or turn directly to the topic that interests you! Take a journey with Cantor through the evolving scientific environment of medical research in the computer age.
208 pages.
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