Practical usage of O'Brien's OLS and GLS statistics in clinical trials

被引：18

作者：

Dallow, Nigel S. ^{[2
]}

Leonov, Sergei L. ^{[1
]}

Roger, James H. ^{[2
]}

机构：

[1] GlaxoSmithKline Inc, Collegeville, PA 19426 USA

[2] GlaxoSmithKline Inc, Greenford, Middx, England

来源：

PHARMACEUTICAL STATISTICS | 2008年 / 7卷 / 01期

关键词：

O'Brien's OLS test; GLS test; multiple endpoints; operational effect size; sample size; adjustment for covariates;

D O I：

10.1002/pst.268

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Multivariate techniques of O'Brien's OLS and GLS statistics are discussed in the context of their application in clinical trials. We introduce the concept of an operational effect size and illustrate its use to evaluate power. An extension describing how to handle covariates and missing data is developed in the context of Mixed models. This extension allowing adjustment for covariates is easily programmed in any statistical package including SAS. Monte Carlo simulation is used for a number of different sample sizes to compare the actual size and power of the tests based on O'Brien's OLS and GLS statistics. Copyright (0 2007 John Wiley & Sons, Ltd.

引用

页码：53 / 68

页数：16

共 15 条

[1]

Chow S., 2003, SAMPLE SIZE CALCULAT

[2]

DAGOSTINO RB, 1998, ENCY BIOSTATISTICS, P2749

[3]

DMITRIENKO A, 2005, ANAL CLIN TRAILS USI

[4]

Hsu J., 1996, MULTIPLE COMP THEORY