Optimal sequential designs of case-control studies

成果类型:
Article
署名作者:
Chen, K
署名单位:
Hong Kong University of Science & Technology
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1015957402
发表日期:
2000
页码:
1452-1471
关键词:
breast-cancer reserpine disease models
摘要:
Fixed case-control studies separately collect a case sample and a control sample with the two sample sizes being fixed prior to studies and sometimes arbitrarily chosen. This often results in loss of efficiency of case-control designs in terms of cost-saving or time-saving of the studies. We study sequential case-control designs and, in connection with treatment allocation and stochastic approximation, derive a simple sampling rule that leads to optimal case-control designs. Some important issues such as fixed-width confidence intervals and sequential tests of hypotheses with possible early stopping to save time or costs, which cannot be answered with fixed case-control designs, are shown to be naturally solved with the derived optimal sequential case-control designs.