Statistical Methods for Survival Data Analysis 4/e +作者：Lee +年份：2013 年4 版 +ISBN：9781118095027 +書號：PS0476H +規格：精裝/單色 +頁數：512 +出版商：John Wiley Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: ●Marginal and random effect models for analyzing correlated censored or uncensored data ●Multiple types of two-sample and K-sample comparison analysis ●Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models ●Expanded coverage of the Cox proportional hazards model ●Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role. 目錄 1 Introduction 2 Functions of Survival Time 3 Examples of Survival Data Analysis 4 Nonparametric Methods of Estimating Survival Functions 5 Nonparametric Methods for Comparing Survival Distributions 6 Some Well-Known Parametric Survival Distributions And Their Applications 7 Estimation Procedures for Parametric Survival Distributions Without Covariates 8 Tests of Goodness-of-Fit and Distribution Selection 9 Parametric Methods for Comparing Two Survival Distributions 10 Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors 11 Identification of Risk Factors Related to Survival Time: Cox Proportional Hazards Model 12 Identification of Prognostic Factors Related to Survival Time: Non-Proportional Hazards Models 13 Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes