Dynamical Biostatistical Models
暫譯: 動態生物統計模型
Commenges, Daniel, Jacqmin-Gadda, Helene
- 出版商: CRC
- 出版日期: 2020-12-18
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 374
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367737744
- ISBN-13: 9780367737740
海外代購書籍(需單獨結帳)
商品描述
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be applied using SAS or R software.
The book describes advanced regression models that include the time dimension, such as mixed-effect models, survival models, multistate models, and joint models for repeated measures and time-to-event data. It also explores the possibility of unifying these models through a stochastic process point of view and introduces the dynamic approach to causal inference.
Drawing on much of their own extensive research, the authors use three main examples throughout the text to illustrate epidemiological questions and methodological issues. Readers will see how each method is applied to real data and how to interpret the results.
商品描述(中文翻譯)
《動態生物統計模型》介紹了用於分析縱向數據的統計模型和方法。本書專注於分析定量和定性變數的重複測量及事件歷史的模型，包括生存模型和多狀態模型。大多數先進的方法，如多狀態模型和聯合模型，可以使用 SAS 或 R 軟體來應用。
本書描述了包含時間維度的先進回歸模型，例如混合效應模型、生存模型、多狀態模型和重複測量及事件時間數據的聯合模型。它還探討了通過隨機過程的觀點統一這些模型的可能性，並介紹了因果推斷的動態方法。
作者基於他們自己廣泛的研究，整本書使用三個主要範例來說明流行病學問題和方法論問題。讀者將看到每種方法如何應用於實際數據，以及如何解釋結果。
作者簡介
Daniel Commenges is emeritus research director at INSERM and founder of the Biostatistics Team at the University of Bordeaux. Dr. Commenges has published more than 200 papers and was editor of Biometrics and an associate editor of several other journals. His main research interests focus on statistical models in epidemiology and biology, applications of stochastic processes, statistical inference in dynamical models, and model selection.
Hélène Jacqmin-Gadda is research director at INSERM and head of the Biostatistics Team at the University of Bordeaux. Dr. Jacqmin-Gadda is a member of the International Biometrics Society and was an associate editor of Biometrics. Her research involves methods for analyzing longitudinal data and joint models in areas, including brain aging, HIV, and cancer.
作者簡介(中文翻譯)
丹尼爾·科門吉斯是法國國家衛生與醫學研究所（INSERM）的名譽研究主任，也是波爾多大學生物統計團隊的創始人。科門吉斯博士已發表超過200篇論文，並曾擔任Biometrics的編輯以及其他幾本期刊的副編輯。他的主要研究興趣集中在流行病學和生物學中的統計模型、隨機過程的應用、動態模型中的統計推斷以及模型選擇。
海倫·雅克敏-加達是法國國家衛生與醫學研究所（INSERM）的研究主任，也是波爾多大學生物統計團隊的負責人。雅克敏-加達博士是國際生物統計學會的成員，並曾擔任Biometrics的副編輯。她的研究涉及分析縱向數據和聯合模型的方法，涵蓋的領域包括大腦老化、HIV和癌症。
