COARSENING AT RANDOM IN GENERAL, SAMPLE SPACES AND RANDOM CENSORING IN CONTINUOUS-TIME

成果类型:
Article
署名作者:
JACOBSEN, M; KEIDING, N
署名单位:
University of Copenhagen
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176324622
发表日期:
1995
页码:
774-786
关键词:
inference models
摘要:
Heitjan and Rubin proposed a concept, ''coarsening at random,'' generalizing Rubin's theory of missing at random. Their analysis was done in discrete sample spaces. We propose a generalization to general sample spaces. Among Heitjan and Rubin's applications was right-censoring in survival analysis. We discuss the application of the generalized theory to various censoring patterns in continuous time and connect to the modern theory of random censoring.