Statistical Methods for Survival Data Analysis, 4/e (Hardcover)
暫譯: 生存數據分析的統計方法，第4版（精裝本）
Lee
- 出版商: Wiley
- 出版日期: 2013-01-01
- 定價: $1,580
- 售價: 9.8 折 $1,548
- 語言: 英文
- 頁數: 512
- 裝訂: 精裝
- ISBN: 1118095022
- ISBN-13: 9781118095027
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
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.
商品描述(中文翻譯)
更新並擴展以反映最新發展的《生存數據分析的統計方法》第四版，繼續提供對於分析生存數據最常用方法的全面介紹。該書由一支獨特且具備良好資格的作者團隊撰寫，是一本備受讚譽的統計方法指南，應用於臨床試驗、流行病學、商業領域及社會科學。書中包含許多真實世界的例子，以說明這些不同領域中的應用，特別考慮到生物醫學科學中生存數據的研究。
《生存數據分析的統計方法》第四版強調最新研究，並提供有關該領域軟體應用的最新資訊，還包括：
- 用於分析相關的截尾或非截尾數據的邊際和隨機效應模型
- 多種類型的兩樣本和K樣本比較分析
- 更新的參數方法處理，用於回歸模型擬合，並新聚焦於加速失效時間模型
- 擴展的Cox比例風險模型的涵蓋
- 每章結尾的練習題，以加深對所呈現材料的理解
《生存數據分析的統計方法》是高年級本科生和研究生級別生存數據分析課程的理想教材。該書也是生物醫學研究者、統計學家和流行病學家的優秀資源，以及在生存數據分析扮演角色的各個領域研究者的寶貴參考。
目錄大綱
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
目錄大綱(中文翻譯)
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
