Applied Survival Analysis: Regression Modeling of Time to Event Data, 2/e (Hardcover)

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION

Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research.

This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data.

Features of the Second Edition include:

• Expanded coverage of interactions and the covariate-adjusted survival functions
• The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques
• New discussion of variable selection with multivariable fractional polynomials
• Further exploration of time-varying covariates, complex with examples
• Additional treatment of the exponential, Weibull, and log-logistic parametric regression models
• Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values
• New examples and exercises at the end of each chapter

Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.

《應用生存分析，第二版》是一本最實用、最新的時間至事件數據建模和分析指南，現在推出了一個寶貴的新版本。

自第一版出版近十年來，使用時間至事件方法進行分析的範疇在科學研究的各個領域中大幅增加，主要是由於現代統計軟體包中提供的模型建立方法。然而，在現有的文獻中，對於希望將這些方法應用於與健康相關的研究領域的研究人員、從業人員和學生的指導相對較少。《應用生存分析，第二版》提供了一個全面且最新的介紹，介紹了醫學、流行病學、生物統計學和其他與健康相關的研究中的時間至事件數據的回歸建模。

本書特別強調實際和當代的回歸建模應用，而不是數學理論。它提供了現代建模技術的清晰易懂的介紹，並配有實際案例和案例研究。主要涵蓋的主題包括：變量選擇、連續協變量的尺度確定、模型中交互作用的作用、適配度和模型假設的評估、回歸診斷、循環事件模型、脆弱性模型、加法模型、競爭風險模型和缺失數據。

第二版的特點包括：

- 擴展了交互作用和協變量調整的生存函數的涵蓋範圍
- 使用Worchester心臟病發作研究作為主要建模數據集，以說明所討論的概念和技術
- 新的多變量分數多項式變量選擇討論
- 進一步探討了時間變化的協變量，並提供了複雜的例子
- 更多關於指數、Weibull和對數-對數參數回歸模型的討論
- 更加強調解釋和使用結果，以及使用多重插補方法分析具有缺失值的數據
- 每章末尾新增了例子和練習題

全書使用Stata® Version 9進行分析，附帶的FTP網站包含了書中使用的數據集。《應用生存分析，第二版》是生物統計學、統計學和流行病學方法研究生課程的理想教材。它也是任何與健康相關領域的從業人員和研究人員，以及保險和政府專業人士的寶貴參考資料。