Literature DB >> 16054579

A dynamic block-randomization algorithm for group-randomized clinical trials when the composition of blocking factors is not known in advance.

Scarlett L Bellamy1.   

Abstract

We present an algorithm for randomizing units in blocks for controlled trials when the composition of blocking factors is not known in advance. For example, suppose the desired goal of an intervention study is to randomize units to one of two interventions while blocking on a dichotomous factor (e.g., gender), but the total number of units, and therefore number or composition, of males and females among those units assembled for randomization cannot be determined in advance. This situation arises in randomized trials when subjects are scheduled to be randomized as a group, but not all of the subjects show up for the visit. Since investigators do not know which of the scheduled subjects will or will not show up, a dynamic randomization scheme is required to accommodate the unknown composition of the blocking factor once a group of subjects (units) is assembled for randomization. These settings are further complicated when there is more than one blocking factor. In this paper, we present an algorithm that ensures the integrity of the randomization process in these settings.

Mesh:

Year:  2005        PMID: 16054579     DOI: 10.1016/j.cct.2005.02.005

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  8 in total

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2.  National Institute of Mental Health Multisite Eban HIV/STD Prevention Intervention for African American HIV Serodiscordant Couples: a cluster randomized trial.

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6.  Methodological overview of an African American couple-based HIV/STD prevention trial.

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Journal:  J Acquir Immune Defic Syndr       Date:  2008-09-01       Impact factor: 3.731

7.  The contribution of male and female partners' substance use to sexual risks and STDs among African American HIV serodiscordant couples.

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Journal:  AIDS Behav       Date:  2010-10

8.  Suubi4Her: a study protocol to examine the impact and cost associated with a combination intervention to prevent HIV risk behavior and improve mental health functioning among adolescent girls in Uganda.

Authors:  Fred M Ssewamala; Laura Gauer Bermudez; Torsten B Neilands; Claude A Mellins; Mary M McKay; Irv Garfinkel; Ozge Sensoy Bahar; Gertrude Nakigozi; Miriam Mukasa; Lindsay Stark; Christopher Damulira; Jennifer Nattabi; Apollo Kivumbi
Journal:  BMC Public Health       Date:  2018-06-05       Impact factor: 3.295

  8 in total

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