Statistical Methods for Survival Data Analysis 4/e [Lee] 9781118095027

🔸書名:Statistical Methods for Survival Data Analysis 4/e
商品編號: PS0476H



Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences.

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.




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