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Bias-corrected and doubly robust inference for the three-level longitudinal cluster-randomized trials with missing continuous outcomes and small number of clusters: Simulation study and application to a study for adults with serious mental illnesses

Contemporary Clinical Trials Communications(2023)10.1016/j.conctc.2023.101194Source: DataRank Database

Bias-corrected and doubly robust inference for the three-level longitudinal cluster-randomized trials with missing continuous outcomes and small number of clusters: Simulation study and application to a study for adults with serious mental illnesses is a research paper published in Contemporary Clinical Trials Communications (2023). On theSindex it has a DataRank of 0.

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Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: goldTopics (36)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Di Zhang ORCID,James Schuster ORCID,Jane N. Kogan ORCID,Cara Nikolajski ORCID,Charles F. Reynolds ORCID

Live enrichment

PubMed:37588771 PMC:PMC10425901 OpenAlex:https://openalex.org/W4385336627

National Institutes of Health

Grant: S10OD028483

National Institutes of Health

Grant: 1S10OD028483-01A1

High-Throughput Computing for Genomics and Bioinformatics Research

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.conctc.2023.101194

GOLDhttps://doi.org/10.1016/j.conctc.2023.101194

publisherhttps://doi.org/10.1016/j.conctc.2023.101194

publisherhttps://api.elsevier.com/content/article/PII:S2451865423001400?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2451865423001400?httpAccept=text/plain

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods and Bayesian InferenceStatistical Methods and InferenceMedicine0101 mathematics01 natural sciences

Keywords

Missing dataEstimatorCausal inferenceStatisticsGeneralized estimating equationRandomized controlled trialStatistical inferenceVariance (accounting)Cluster (spacecraft)Multilevel modelEstimating equationsCluster randomised controlled trialComputer scienceLongitudinal studyInferenceType I and type II errorsRandom effects modelEconometricsMathematicsMedicineArtificial intelligenceMeta-analysisMissing At RandomAugmented Inverse Probability Weighted EstimatorSmall Number Of ClustersBias-corrected VarianceLongitudinal Cluster-randomizationMedicine (General)R5-920Research Paper

Bias-corrected and doubly robust inference for the three-level longitudinal cluster-randomized trials with missing continuous outcomes and small number of clusters: Simulation study and application to a study for adults with serious mental illnesses

FAIR Checklist

Authors (6)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)