Applied Survival Analysis [Paperback]

This concise, application-oriented text is designed to meet the needs of practitioners and students in applied fields in its coverage of major, updated methods in the analysis of survival data. Includes analysis of standardized mortality ratios, methods for proving attenuation of healthy worker effects, ordinal risk factors and other new areas of research. Timely and diverse case studies are presented, plus a complete data set on ESRD patients on hemodialysis. Moderate level of mathematics required.Basic Concepts in Survival Analysis.

Estimation of Functions and Parameters.

Comparison of Survival Distributions.

Correlation and Regression Analyses.

Appendices.

References.

Index.CHAP T. LE, PhD, is Professor and Director of Biostatistics at the University of Minnesota's Cancer Center and Otitis Media Research Center. Dr. Le's many works on biostatistics include Health and Numbers: Basic Biostatistical Methods (Wiley), coauthored with James R. Boen.Major, updated methods of survival data analysis in one concise volume Applied Survival Analysis provides the foundation for understanding various analytical procedures and the relationships among these different methods. The book is application-oriented yet also serves as a superb single-volume reference. It develops new areas of research, such as the analysis of clustered survival data, and presents cohort and case-control studies, including healthy worker effects and applications to receiver operating characteristic (ROC) curves. Written for graduate students in biostatistics, epidemiology, and environmental health, as well as for professional statisticians and biomedical researchers, Applied Survival Analysis:
* Features applied research areas, real-life examples with detailed descriptions, and exercises
* Provides equations, derivations, and proofs that require only simple algl-