Survival analysis concerns sequential occurrences of eventsgoverned by probabilistic laws. Recent decades have witnessedmany applications of survival analysis in various disciplines. Thisbook introduces both classic survival models and theories alongwith newly developed techniques. Readers will learn how to performanalysis of survival data by following numerous empiricalillustrations in SAS. Survival Analysis: Models andApplications: * Presents basic techniques before leading onto some of the mostadvanced topics in survival analysis. * Assumes only a minimal knowledge of SAS whilst enabling moreexperienced users to learn new techniques of data inputand manipulation. * Provides numerous examples of SAS code to illustrate each ofthe methods, along with step-by-step instructions to perform eachtechnique. * Highlights the strengths and limitations of each techniquecovered. Covering a wide scope of survival techniques and methods, fromthe introductory to the advanced, this book can be used as a usefulreference book for planners, researchers, and professors who areworking in settings involving various lifetime events. Scientists interested in survival analysis should find it a usefulguidebook for the incorporation of survival data and methods intotheir projects.weiterlesen