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Generalizability of Randomized Trial Results to Target Populations

Design and Analysis Possibilities

Bibliographic Data

ID12386366
AuthorsElizabeth A Stuart (0000-0002-9042-8611, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA, corresponding author), Benjamin Ackerman (0000-0003-2522-6623, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA), Daniel Westreich (0000-0003-3069-1650, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA)
Year2017
Volume28
Issue5
Pages532-537
Publication date2017-07-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueResearch on Social Work Practice (JOURNAL)
Journal identifiersISSN: 1049-7315 • E-ISSN: 1552-7581
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1049731517720730
PMID30034203
OpenAlexW2741448768
LanguageEN
Citations received13
References cited31

Randomized trials play an important role in estimating the effect of a policy or social work program in a given population. While most trial designs benefit from strong internal validity, they often lack external validity, or generalizability, to the target population of interest. In other words, one can obtain an unbiased estimate of the study sample average treatment effect (SATE) from a randomized trial; however, this estimate may not equal the target population average treatment effect (TATE) if the study sample is not fully representative of the target population. This paper provides an overview of existing strategies to assess and improve upon the generalizability of randomized trials, both through statistical methods and study design, as well as recommendations on how to implement these ideas in social work research

Developmental psychology · External validity · Generalizability theory · Internal validity · Population · Randomized controlled trial · Randomized experiment · Research design · Sample (material · Sample size determination · Sociology · Statistics · Advanced Causal Inference Techniques · Demography · Geriatric Care and Nursing Homes · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Psychology · Social Psychology

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Unique citing works13
Citations per year1,63
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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