Generalized probit model in design of dose finding experiments

被引：8

作者：

Fedorov, Valerii V. ^{[1
]}

Wu, Yuehui ^{[1
]}

机构：

[1] GlaxoSmithKline, Res Stat Unit, SQS, R&D, POB 5089, Collegeville, PA 19426 USA

来源：

MODA 8 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS | 2007年

关键词：

dichotomized and continuous responses; multivariate probit model; optimal design; utility function;

D O I：

10.1007/978-3-7908-1952-6_9

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In clinical studies, continuous endpoints are very commonly seen. However, either for ease of interpretation or to simplify the reporting process, some continuous endpoints are often reported and (unfortunately) analyzed as binary or ordinal responses. We emphasize the usefulness of differentiation between response and utility functions and develop tools to build locally optimal designs for corresponding models. It is also shown that dichotomization of responses may lead to significant loss in statistical precision. We consider an example with two responses and one utility function. The generalization to a larger number of responses and utility functions is straightforward.

引用

页码：67 / +

页数：2