期刊
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
卷 50, 期 4, 页码 1270-1298出版社
WILEY
DOI: 10.1002/cjs.11711
关键词
Event history processes; multistate models; observational studies; randomized trials; intervention effects
资金
- Natural Sciences and Engineering Research Council of Canada [RGPIN-2017-04207, RGPIN-2017-04055]
Life history analysis has evolved as a methodology for analyzing processes related to human health, education, employment, and other areas. The complexity of processes, difficulty of obtaining accurate data, and increased use of observational data have posed challenges. This review discusses recent work and emphasizes the use of expanded models.
Life history analysis has evolved in the last 50 years as a methodology for analyzing processes associated with human health, education, employment, and other areas. The complexity of many processes, the difficulty of obtaining complete and accurate data, and the increased use of observational data from registries and administrative sources have posed many recent challenges. We review the evolution of life history analysis, discuss some recent work, and consider three areas currently receiving much attention. A theme we stress is the use of expanded models that include selection and observation processes for studies in addition to the life history process of interest. Examples from health research are presented.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据