Survival Analysis Using SAS: A Practical Guide, Second by Paul D. Allison

By Paul D. Allison

effortless to learn and complete, Survival research utilizing SAS: a realistic consultant, moment variation, by means of Paul D. Allison, is an available, data-based advent to equipment of survival research. Researchers who are looking to research survival information with SAS will locate simply what they wish with this totally up-to-date new version that comes with the numerous improvements in SAS tactics for survival research in SAS nine. even supposing the ebook assumes just a minimum wisdom of SAS, more matured clients will study new concepts of information enter and manipulation. various examples of SAS code and output make this an eminently useful publication, making sure that even the uninitiated turn into refined clients of survival research. the most subject matters provided comprise censoring, survival curves, Kaplan-Meier estimation, speeded up failure time versions, Cox regression versions, and discrete-time research. additionally incorporated are subject matters no longer frequently coated in survival research books, reminiscent of time-dependent covariates, competing hazards, and repeated occasions.

Survival research utilizing SAS: a realistic consultant, moment variation, has been completely up to date for SAS nine, and all figures are provided utilizing ODS photographs. This re-creation additionally files significant improvements to the STRATA assertion within the LIFETEST process; features a part at the PROBPLOT command, which bargains graphical easy methods to review the healthy of every parametric regression version; introduces the recent BAYES assertion for either parametric and Cox types, which permits the consumer to do a Bayesian research utilizing MCMC tools; demonstrates using the counting approach syntax instead approach for dealing with time-dependent covariates; features a part on cumulative prevalence capabilities; and describes using the recent GLIMMIX strategy to estimate random-effects types for discrete-time facts.

This publication is a part of the SAS Press program.

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