Accounting for Context in Randomized Trials after Assignment

Brown, C. H., Hedeker, D., Gibbons, R. D., Duan, N., Almirall, D., Gallo, C., Burnett-Zeigler, I., Prado, G., Young, S. D., Valido, A., & Wyman, P. A. (2022). Accounting for Context in Randomized Trials after Assignment. Prevention Science, 23(8), 1321–1332. https://doi.org/10.1007/s11121-022-01426-9
Authors:
C Hendricks Brown
Donald Hedeker
Robert D Gibbons
Naihua Duan
Daniel Almirall
Carlos Gallo
Inger Burnett-Zeigler
Guillermo Prado
Sean D Young
Alberto Valido
Peter A Wyman
Affiliated Authors:
Naihua Duan
Columbia Affiliation:
Subjects:
Methods for Causal Inference in Observational Studies (OpenAlex Topic)
Advancing Evidence-Based Practice Implementation in Healthcare (OpenAlex Topic)
Network Analysis of Psychopathology and Mental Disorders (OpenAlex Topic)
Research Design (MeSH)
Author Keywords:
individually randomized group treated (irgt) trials
partially nested designs
contextually driven designs
mixed effects modeling
generalized estimating equations
spillover trials
multiplicative implementation strategies
learning collaboratives
clustering
cluster-randomized trials
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Publication Type:
Article
Unique ID:
10.1007/s11121-022-01426-9
PMID:
36083435
DOI:
10.1007/s11121-022-01426-9
Journal:
Prevention Science
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: