相關主題
商品描述
This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of transitions between states. Life histories are modeled as realizations of continuous-time Markov processes. The model parameters, transition rates, are estimated from data on event counts and populations at risk, using the statistical theory of counting processes.
The Comprehensive R Network Archive (CRAN) includes several packages for multistate modeling. This book is about Biograph. The package is designed to (a) enhance exploratory analysis of life histories and (b) make multistate modeling accessible. The package incorporates utilities that connect to several packages for multistate modeling, including survival, eha, Epi, mvna<, etm, mstate, msm, and TraMineR for sequence analysis. The book is a ‘hands-on’ presentation of Biograph and the packages listed. It is written from the perspective of the user. To help the user master the techniques and the software, a single data set is used to illustrate the methods and software. It is the subsample of the German Life History Survey, which was also used by Blossfeld and Rohwer in their popular textbook on event history modeling. Another
data set, the Netherlands Family and Fertility Survey, is used to illustrate how Biograph can assist in answering questions on life paths of cohorts and individuals.The book is suitable as a textbook for graduate courses on event history analysis and introductory courses on competing risks and multistate models. It may also be used as a self-study book. The R code used in the book is available online.
Frans Willekens is affiliated with the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He is Emeritus Professor of Demography at the University of Groningen, a Honorary Fellow of the Netherlands Interdisciplinary Demographic Institute (NIDI) in the Hague, and a Research Associate of the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. He is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting.
商品描述(中文翻譯)
本書提供了多狀態事件歷史分析的介紹。這是生存分析的一個擴展，其中考慮單一終端事件（終點），並研究事件發生的時間。多狀態模型專注於生命歷史或軌跡，這些被概念化為狀態的序列和狀態之間轉換的序列。生命歷史被建模為連續時間馬可夫過程的實現。模型參數，即轉換率，通過事件計數和風險人群的數據來估計，使用計數過程的統計理論。
綜合 R 網路檔案 (CRAN) 包含幾個用於多狀態建模的套件。本書主要介紹 Biograph。該套件旨在 (a) 增強生命歷史的探索性分析，(b) 使多狀態建模變得可及。該套件整合了與多個多狀態建模套件相連的工具，包括 survival、eha、Epi、mvna、etm、mstate、msm 和 TraMineR 用於序列分析。本書是對 Biograph 及所列套件的“實作”介紹，從使用者的角度撰寫。為了幫助使用者掌握技術和軟體，使用單一數據集來說明方法和軟體。這是德國生命歷史調查的子樣本，該調查也被 Blossfeld 和 Rohwer 用於他們的熱門事件歷史建模教科書中。另一個數據集，荷蘭家庭與生育調查，則用於說明 Biograph 如何協助回答有關群體和個體生命路徑的問題。
本書適合作為研究生課程的事件歷史分析教科書以及有關競爭風險和多狀態模型的入門課程。它也可以作為自學書籍使用。本書中使用的 R 代碼可在線獲得。
Frans Willekens 目前隸屬於德國羅斯托克的馬克斯·普朗克人口研究所 (MPIDR)。他是格羅寧根大學的人口學名譽教授，海牙的荷蘭跨學科人口研究所 (NIDI) 名譽研究員，以及奧地利拉克森堡的國際應用系統分析研究所 (IIASA) 研究助理。他是荷蘭皇家藝術與科學學院 (KNAW) 的成員。他在生命歷史的建模和模擬方面做出了貢獻，主要是在人口預測的背景下。
