A SAS macro for constrained randomization of group-randomized designs

被引：27

作者：

Chaudhary, M. Ashraf ^{[1
]}

Moulton, Lawrence H. ^{[1
]}

机构：

[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Relat, Baltimore, MD 21205 USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2006年 / 83卷 / 03期

关键词：

SAS (R); constrained randomization; stratified group-randomized trial;

D O I：

10.1016/j.cmpb.2006.04.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Group-randomized study designs are useful when individually-randomized designs either are not possible, or will not be able to estimate the parameters of interest. Group-randomized trials often have small number of experimental units or groups and strong geographically-induced between-unit correlation, thereby increasing the chance of obtaining a "bad" randomization outcome. It has been suggested to highly constrain the design through restriction to those allocations that meet specified criteria based on certain covariates available at the baseline. We describe a SAS' macro that allocates treatment conditions in a two-arm stratified group-randomized design that ensures balance on relevant covariates. The application of the macro is illustrated using two examples of group-randomized designs. (c) 2006 Elsevier Ireland Ltd. All rights reserved.

引用

页码：205 / 210

页数：6

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