Extending SAS Survival Analysis Techniques for Medical Research

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9781555449544: Extending SAS Survival Analysis Techniques for Medical Research

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.

Supports releases 6.09 and higher of SAS software.

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About the Author:

Alan Cantor

Leader of the Biostatistics Core at the H. Lee Moffitt Cancer Center

and Research Institute, Alan Cantor earned his Ph.D. degree in

Mathematics and had an additional two year post-doctoral fellowship

in Biostatistics. His SAS software experience spans an 18-year

period with extensive use of base SAS, SAS/STAT, and SAS/GRAPH

software. Published in several prestigious medical journals and

in noted scientific and statistical publications such as the

New England Journal of Medicine, Journal of the American Medical

Association, Journal of Clinical Oncology, and Statistics in

Medicine, Cantor continues to teach, write about, and study the

methods of survival analysis research.

"About this title" may belong to another edition of this title.

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