期刊论文

Zhu, Liang

英文

Biometrics

0006-341X

2015

71

1

71-79

10.1111/biom.12247

NATIONAL CANCER INSTITUTEUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, U24CA055727, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, 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P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, U24CA055727, U24CA055727, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, P30CA021765, U24CA055727] Funding Source: NIH RePORTER; NCI NIH HHSUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [P30 CA021765, R03CA169150, U24 CA055727, R03 CA169150] Funding Source: Medline

本校为其他机构

Summary Event-history studies of recurrent events are often conducted in fields such as demography, epidemiology, medicine, and social sciences (Cook and Lawless, 2007, The Statistical Analysis of Recurrent Events. New York: Springer-Verlag; Zhao et al., 2011, Test 20, 1–42). For such analysis, two types of data have been extensively investigated: recurrent-event data and panel-count data. However, in practice, one may face a third type of data, mixed recurrent-event and panel-count data or mixed event-history data. Such data occur if some st...