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Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials

Statistics in Medicine(2020)10.1002/sim.8721Source: DataRank Database

Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials is a research paper published in Statistics in Medicine (2020). On theSindex it has a DataRank of 0. It has been cited 37 times.

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Open Access37 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (11 grants)Impact (FWCI 3.60)OA: greenTopics (36)Linked Datasets (8)DataCite Reuse (8)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (6)

Fan Li ORCID,Monique A. Starks ORCID,Adrian F. Hernandez ORCID,Robert J. Mentz ORCID,Kingshuk Roy Choudhury ORCID

Live enrichment

PubMed:32823372 PMC:PMC7948251 OpenAlex:https://openalex.org/W3080864870

National Center for Complementary and Alternative Medicine

Grant: 1U54AT007748‐04

National Institute on Drug Abuse

Grant: UH3DA047003

National Institutes of Health

Grant: 3U54AT007748‐02S4

National Institutes of Health

Grant: U24AT009676

Office of Disease Prevention

Grant: 3‐UH3‐DA047003‐02S2

NCCIH NIH HHS

Grant: U54 AT007748

NIH HHS

Grant: 3U54AT007748-02S4

NCATS NIH HHS

Grant: UL1 TR001863

National Institutes of Health

Grant: 4UH3DA047003-02

EMBED: Pragmatic trial of user-centered clinical decision support to implement EMergency department-initiated BuprenorphinE for opioid use Disorder

National Institutes of Health

Grant: 3U24AT009676-03S1

NIH Health Care Systems Research Collaboratory - Coordinating Center

National Institutes of Health

Grant: 5U54AT007748-04

Health Care Systems Research Collaboratory - Coordinating Center

FWCI

3.60

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

greenLicense: Wiley Online Library User Agreement

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7948251

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8721

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.8721

journalhttps://doi.org/10.1002/sim.8721

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials01 natural sciences0101 mathematics

MeSH Terms

HumansResearch DesignCluster AnalysisLinear ModelsRandomized Controlled Trials as TopicSample Size

Keywords

CRTSCovariateSample size determinationStatisticsIntraclass correlationStatistical powerMixed modelSample (material)Cluster (spacecraft)Computer scienceMathematicsEconometricsInteractionIntraclass Correlation CoefficientCluster Randomized TrialsSample Size EstimationHeterogeneous Treatment EffectPower FormulaApplications of statistics to biology and medical sciences; meta analysisResearch DesignSample SizeLinear ModelsCluster AnalysisHumansRandomized Controlled Trials as Topic

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity

10.6084/m9.figshare.22621735figshare

Additional file 1 of Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity

10.6084/m9.figshare.22621735.v1figshare

Additional file 1 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687846.v1figshare

Additional file 1 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687846figshare

Additional file 2 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687849.v1figshare

Additional file 2 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687849figshare

Additional file 3 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687852.v1figshare

Additional file 3 of Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

10.6084/m9.figshare.26687852figshare