Literature DB >> 15779091

Using baseline data to design a group randomized trial.

James P Hughes1.   

Abstract

Group randomized trials (GRT) are often designed with relatively little preliminary data available to estimate key parameters. In this paper, however, the opposite situation is considered-very good baseline data are available on the primary outcome of interest. These data can then be used to inform key design and analysis decisions such as (i) should the trial be designed as an unmatched or pair-matched study, or stratified in some other fashion; (ii) is analysis of "change from baseline" preferable to using end-of-study data alone; and (iii) what power might be expected by pursuing these various strategies. The results are applied to a GRT for sexually transmitted diseases prevention in Peru. Copyright (c) 2005 John Wiley & Sons, Ltd.

Mesh:

Year:  2005        PMID: 15779091     DOI: 10.1002/sim.2080

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Prevention of sexually transmitted infections in urban communities (Peru PREVEN): a multicomponent community-randomised controlled trial.

Authors:  Patricia J García; King K Holmes; César P Cárcamo; Geoff P Garnett; James P Hughes; Pablo E Campos; William L H Whittington
Journal:  Lancet       Date:  2012-02-15       Impact factor: 79.321

2.  Use of HIV case surveillance system to design and evaluate site-randomized interventions in an HIV prevention study: HPTN 065.

Authors:  Deborah J Donnell; H Irene Hall; Theresa Gamble; Geetha Beauchamp; Angelique B Griffin; Lucia V Torian; Bernard Branson; Wafaa M El-Sadr
Journal:  Open AIDS J       Date:  2012-09-07
  2 in total

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