Advances in Survival Analysis [Hardcover]

Handbook of Statistics: Advances in Survival Analysis covers all important topics in the area of Survival Analysis. Each topic has been covered by one or more chapters written by internationally renowned experts. Each chapter provides a comprehensive and up-to-date review of the topic. Several new illustrative examples have been used to demonstrate the methodologies developed. The book also includes an exhaustive list of important references in the area of Survival Analysis.

• Includes up-to-date reviews on many important topics
• Chapters written by many internationally renowned experts
• Some Chapters provide completely new methodologies and analyses
• Includes some new data and methods of analyzing them

Part I. General Methodology. Evaluation of the Performance of Survival Analysis Models: Discrimination and Calibration Measures (R.B. D'Agostino, B.-H. Nam). Discretizing a Continuous Covariate in Survival Studies (J.P. Klein, J.-T. Wu). On Comparison of Two Classification Methods with Survival Endpoints (Y. Lu, H. Jin, J. Mi). Time-Varying Effects in Survival Analysis (T.H. Scheike). Kaplan-Meier Integrals (W. Stute).

Part II. Concensored Data and Inference. Statistical Analysis of Doubly Interval-Censored Failure Time Data (J. Sun). The Missing Consoring-Indicator Model of Random Censorship (S. Subramanian). Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures (S. Keles, M.J. van der Laan, J.M. Robins). Estimation of Semi-Markov Models with Right-Censored Data (O. Pons).

Part III. Truncated Data and Inference. Nonparametric Bivariate Estimation with Randomly Truncated Observations (?. G?rler).

Part IV. Hazard Rate Estimation. Lower Bounds for Estimating a HazardlB