Two-stage design of quantal response studies

被引:18
|
作者
Sitter, RR [1 ]
Wu, CFJ
机构
[1] Simon Fraser Univ, Dept Math & Stat, Burnaby, BC V5A 1S6, Canada
[2] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
关键词
binary data; c-optimality; D-optimality; F-optimality; logit; phase II trials; probit;
D O I
10.1111/j.0006-341X.1999.00396.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 how a 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.
引用
收藏
页码:396 / 402
页数:7
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