Jiaqi Tong
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Research
Publications
2025
Model‐Robust Standardization in Cluster‐Randomized Trials
Li F, Tong J, Fang X, Cheng C, Kahan B, Wang B. Model‐Robust Standardization in Cluster‐Randomized Trials. Statistics In Medicine 2025, 44: e70270. PMID: 40968363, DOI: 10.1002/sim.70270.Peer-Reviewed Original ResearchConceptsInformative cluster sizeWorking regression modelsJackknife variance estimatorTreatment effect parametersCluster randomized trialData generating processAverage treatment effectVariance estimationCoefficient estimatesGeneralized linear mixed modelsEstimandsR packageNatural testCluster averagesLinear mixed modelsEstimationTreatment effectsExtensive simulation experimentsCluster sizeInferenceRegression modelsGeneralized Estimating EquationsGeneration processMixed modelsEquations
2024
Hierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials
Tong G, Tong J, Jiang Y, Esserman D, Harhay M, Warren J. Hierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials. Clinical Trials 2024, 21: 451-460. PMID: 38197388, PMCID: PMC11233424, DOI: 10.1177/17407745231222018.Peer-Reviewed Original Research
2023
Designing multicenter individually randomized group treatment trials
Tong G, Tong J, Li F. Designing multicenter individually randomized group treatment trials. Biometrical Journal 2023, 66: e2200307. PMID: 37768850, DOI: 10.1002/bimj.202200307.Peer-Reviewed Original ResearchCorrection: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity
Tong J, Li F, Harhay M, Tong G. Correction: Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity. BMC Medical Research Methodology 2023, 23: 135. PMID: 37286955, PMCID: PMC10246095, DOI: 10.1186/s12874-023-01932-6.Peer-Reviewed Original ResearchAccounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity
Tong J, Li F, Harhay M, Tong G. Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity. BMC Medical Research Methodology 2023, 23: 85. PMID: 37024809, PMCID: PMC10077680, DOI: 10.1186/s12874-023-01887-8.Peer-Reviewed Original ResearchConceptsSample size methodsSample size proceduresSize proceduresTreatment effect heterogeneityHeterogeneous treatment effectsSize methodMissingness ratesSample size formulaSample size estimationMissingness indicatorsEffect heterogeneityReal-world examplesSimulation studyIntracluster correlation coefficientInflation methodSize formulaAverage treatment effectResultsSimulation resultsSample size estimatesSize estimationMissingnessSample sizeClustersEstimationFormula
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