Recruitment in multicentre trials: Prediction and adjustment

被引：15

作者：

Anisimov, Vladimir V. ^{[1
]}

Downing, Darryl ^{[2
]}

Fedorov, Valerii V. ^{[2
]}

机构：

[1] GlaxoSmithKline, New Frontiers Sci Pk South,3rd Ave, Harlow CM19 5AW, Essex, England

[2] GlaxoSmithKline, Collegeville, PA 19426 USA

来源：

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

关键词：

patient recruitment; optimal design; multicentre trial; adaptive adjustment;

D O I：

10.1007/978-3-7908-1952-6_1

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

There are a few sources of uncertainty/variability associated with patient recruitment in multicentre clinical trials: uncertainties in prior information, stochasticity in patient arrival and centre initiation processes. Methods of statistical modeling, prediction and adaptive adjustment of recruitment are proposed to address these issues. The procedures for constructing an optimal recruitment design accounting for time and cost constraints are briefly discussed.

引用

页码：1 / +

页数：2

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