Fixed case-control studies separately collect a case sample and a
control sample withthe 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 suchas fixed-
width confidence intervals and sequential tests of hypotheses with possible
early stopping to save time or costs, whichcannot be answered with fixed
case-control designs, are shown to be naturally solved with the derived optimal
sequential case-control designs.
Publié le : 2000-10-14
Classification:
Sequential sampling,
logistic regression,
fixed-width confidence interval,
sequential test of hypotheses,
treatment allocation,
stochastic approximation,
62F12,
62I05
@article{1015957402,
author = {Chen, Kani},
title = {Optimal sequential designs of case-control studies},
journal = {Ann. Statist.},
volume = {28},
number = {3},
year = {2000},
pages = { 1452-1471},
language = {en},
url = {http://dml.mathdoc.fr/item/1015957402}
}
Chen, Kani. Optimal sequential designs of case-control studies. Ann. Statist., Tome 28 (2000) no. 3, pp. 1452-1471. http://gdmltest.u-ga.fr/item/1015957402/