1989
DOI: 10.1016/0167-7152(89)90133-8
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Two stage conditionally unbiased estimators of the selected mean

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Cited by 82 publications
(127 citation statements)
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“…By conditioning on the stage 1 treatment estimates, Cohen and Sackrowitz (1989) proposed an unbiased estimator for m ð1Þ , which we will callm m ð1Þ . Assuming that X 1 ; .…”
Section: Estimation Of M (1)mentioning
confidence: 99%
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“…By conditioning on the stage 1 treatment estimates, Cohen and Sackrowitz (1989) proposed an unbiased estimator for m ð1Þ , which we will callm m ð1Þ . Assuming that X 1 ; .…”
Section: Estimation Of M (1)mentioning
confidence: 99%
“…Our focus in this paper is point estimation, and for that reason we concentrate on the work of Cohen and Sackrowitz (1989), who proposed an unbiased estimate for the mean of the best performing treatment. In Section 2 we describe in more detail the two-stage design under consideration, define three estimators for the selected treatment and decide on a common criteria for rating each estimator.…”
Section: Introductionmentioning
confidence: 99%
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“…Also, in contrast to the non-adaptive multiple comparison situation, minimum variance mean unbiased estimates and exact confidence intervals exist for adaptive designs if the selection procedure at interim is fully specified (Cohen and Sackrowitz (1989), Sampson and Sill (2005)). Hence, concerns about estimation in adaptive designs should be viewed relative to other conventional standards, to the magnitudes of biases (and the existence of conservative approaches), and to other advantages that the adaptive design may offer.…”
Section: Adaptive/flexible Clinical Trial Design; Dr Hung Et Almentioning
confidence: 97%
“…It is known that the unbiased estimator for θ I of the selected normal population does not exist. For example, Cohen and Sackrowitz [7] quote unpublished technical report by Putter and Rubinstein [6]. For the sake of completeness, we give below a proof which brings out also certain additional features of the problem.…”
Section: Non-existence Of Unbiased Estimatormentioning
confidence: 98%