Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values

Andersen, Per Kragh, Ravn, Henrik

Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
  • 出版商: CRC
  • 出版日期: 2023-10-11
  • 售價: $3,560
  • 貴賓價: 9.5 折 $3,382
  • 語言: 英文
  • 頁數: 278
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367140020
  • ISBN-13: 9780367140021

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Multi-state models provide a statistical framework for studying longitudinal data on subjects when focus is on the occurrence of events that the subjects may experience over time. They find application particularly in biostatistics, medicine, and public health. The book includes mathematical detail which can be skipped by readers more interested in the practical examples. It is aimed at biostatisticians and at readers with an interest in the topic having a more applied background, such as epidemiology. This book builds on several courses the authors have taught on the subject.

Key Features:

  • Intensity-based and marginal models.
  • Survival data, competing risks, illness-death models, recurrent events.
  • Includes a full chapter on pseudo-values.
  • Intuitive introductions and mathematical details.
  • Practical examples of event history data.
  • Exercises.

Software code in R and SAS and the data used in the book, as well as solutions to the exercises, can be found on the book's webpage: https: //multi-state-book.github.io/companion .

商品描述(中文翻譯)

多狀態模型提供了一個統計框架，用於研究關於主題的長期數據，重點是主題隨時間可能經歷的事件。它們在生物統計學、醫學和公共衛生等領域特別有應用。本書包含了數學細節，對於更關注實際例子的讀者可以跳過。它針對生物統計學家和對該主題有應用背景（如流行病學）興趣的讀者。本書基於作者們在該主題上所教授的多門課程。

主要特點：
- 基於強度和邊際模型。
- 生存數據、競爭風險、疾病-死亡模型、循環事件。
- 包含一個完整的章節介紹虛擬值。
- 直觀的介紹和數學細節。
- 實際的事件歷史數據例子。
- 練習題。

在本書的網頁上可以找到使用R和SAS的軟件代碼以及書中使用的數據，還有練習題的解答：https://multi-state-book.github.io/companion。

作者簡介

Henrik Ravn is senior statistical director at Novo Nordisk A/S, Denmark. He graduated with an MSc in theoretical statistics in 1992 from University of Aarhus, Denmark and completed a PhD in biostatistics in 2002 from the University of Copenhagen, Denmark. He joined Novo Nordisk in late 2015 after more than 22 years of experience from biostatistical and epidemiological research, at Statens Serum Institut, Denmark and in Guinea-Bissau, West Africa. He has co-authored more than 160 papers, mainly within epidemiology and application of survival analysis and has taught several courses as external lecturer at Section of Biostatistics, University of Copenhagen.

Per Kragh Andersen is professor of biostatistics at the Department of Public Health, University of Copenhagen, Denmark since 1998. He graduated in mathematical statistics from University of Copenhagen in 1978, got his PhD in 1982 and a DMSc degree in 1997. From 1993 to 2002 he worked half time as chief statistician at Danish Epidemiology Science. He is an author or co-author of more than 125 papers on statistical methodology and more than 250 papers in the medical literature. His research has concentrated on survival analysis and he is a co-author of the 1993 book 'Statistical Models Based on Counting Processes'. He has taught several courses both nationally and internationally both for students with a mathematical background and for students in medicine or public health.

作者簡介(中文翻譯)

Henrik Ravn是丹麥Novo Nordisk A/S的高級統計主管。他於1992年從丹麥奧胡斯大學獲得理論統計學碩士學位，並於2002年從丹麥哥本哈根大學獲得生物統計學博士學位。在加入Novo Nordisk之前，他在丹麥的Statens Serum Institut和西非幾內亞比紹擁有超過22年的生物統計學和流行病學研究經驗。他共同撰寫了160多篇論文，主要涉及流行病學和生存分析的應用，並在哥本哈根大學生物統計學部擔任過外聘講師。

Per Kragh Andersen自1998年起擔任丹麥哥本哈根大學公共衛生學院的生物統計學教授。他於1978年從哥本哈根大學獲得數學統計學學位，於1982年獲得博士學位，並於1997年獲得醫學博士學位。從1993年到2002年，他在丹麥流行病學科學擔任兼職首席統計師。他是超過125篇統計方法論論文和250篇醫學文獻的作者或合著者。他的研究主要集中在生存分析上，並是1993年的書籍《基於計數過程的統計模型》的合著者。他曾在國內外為具有數學背景或醫學和公共衛生學背景的學生教授過多門課程。

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