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Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

Statistical Methods in Medical Research(2023)10.1177/09622802231167435Source: DataRank Database

Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes is a research paper published in Statistical Methods in Medical Research (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 0.50)OA: greenTopics (31)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
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Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (7)

John J. Dziak ORCID,Raju Maiti ORCID,Kevin G. Lynch ORCID,James R. McKay ORCID,Bibhas Chakraborty ORCID

Live enrichment

PubMed:37167008 PMC:PMC10520220 OpenAlex:https://openalex.org/W4376128791

National Institute on Drug Abuse

Grant: P50DA039838

National Institute on Drug Abuse

Grant: P50DA054039

National Institute on Drug Abuse

Grant: R01DA039901

NIDA NIH HHS

Grant: P60 DA005186

NIAAA NIH HHS

Grant: P01 AA016821

FWCI

0.50

Citation Percentile

0.6%

Citation Trend

2024

2025

greenLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10520220/pdf/nihms-1882789.pdf

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/09622802231167435

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/09622802231167435

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10520220

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods in Clinical TrialsMental Health Research TopicsHumansAlgorithmsClinical ProtocolsRandomized Controlled Trials as TopicResearch DesignSample Size

MeSH Terms

AlgorithmsClinical ProtocolsHumansResearch DesignRandomized Controlled Trials as TopicSample Size

Keywords

Sample size determinationComputer scienceSample (material)Monte Carlo methodCount dataVariance (accounting)StatisticsEconometricsMathematicsSMARTLongitudinal OutcomeSample Size EstimationDynamic Treatment RegimenAdaptive InterventionSequential Multiple Assignment Randomized TrialOverdispersed Count

Sustainable Development Goals

SDG 0: Good health and well-being

sj-zip-2-smm-10.1177_09622802231167435 - Supplemental material for Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

10.25384/sage.22808175SAGE Journals

sj-pdf-1-smm-10.1177_09622802231167435 - Supplemental material for Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

10.25384/sage.22808172SAGE Journals

Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

10.25384/sage.c.6643197SAGE Journals

Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes

10.25384/sage.c.6643197.v1SAGE Journals

10.25384/sage.22808172.v1SAGE Journals

10.25384/sage.22808175.v1SAGE Journals