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Titolo:
Two-stage design of quantal response studies
Autore:
Sitter, RR; Wu, CFJ;
Indirizzi:
Simon Fraser Univ, Dept Math & Stat, Burnaby, BC V5A 1S6, Canada Simon Fraser Univ Burnaby BC Canada V5A 1S6 , Burnaby, BC V5A 1S6, Canada Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA Univ Michigan Ann ArborMI USA 48109 , Dept Stat, Ann Arbor, MI 48109 USA
Titolo Testata:
BIOMETRICS
fascicolo: 2, volume: 55, anno: 1999,
pagine: 396 - 402
SICI:
0006-341X(199906)55:2<396:TDOQRS>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Soggetto:
BINARY DATA;
Keywords:
binary data; c-optimality; D-optimality; F-optimality; logit; phase II trials; probit;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
14
Recensione:
Indirizzi per estratti:
Indirizzo: Sitter, RR Simon Fraser Univ, Dept Math & Stat, Burnaby, BC V5A 1S6, Canada Simon Fraser Univ Burnaby BC Canada V5A 1S6 BC V5A 1S6, Canada
Citazione:
R.R. Sitter e C.F.J. Wu, "Two-stage design of quantal response studies", BIOMETRICS, 55(2), 1999, pp. 396-402

Abstract

In a quantal response study, there may be insufficient knowledge of the response relationship for the stimulus (or dose) levels to be chosen properly. Information from such a study can be scanty or even unreliable. A two-stage design is proposed for such studies, which can determine whether and howa follow-up (i.e., second-stage) study should be conducted to select additional stimulus levels to compensate for the scarcity of information in the initial study. These levels are determined by using optimal design theory and are based on the fitted model from the data in the initial study. Its advantages are demonstrated using a fishery study.

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Documento generato il 26/09/20 alle ore 10:51:07