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.
"synopsis" may belong to another edition of this title.
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.
Book Description Sas Inst, 1997. Paperback. Book Condition: New. Never used!. Bookseller Inventory # P111555449549
Book Description Sas Inst, 1997. Paperback. Book Condition: New. book. Bookseller Inventory # M1555449549