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Multiple imputation for non-monotone missing not at random data using the no self-censoring model

Statistical Methods in Medical Research(2023)10.1177/09622802231188520Source: DataRank Database

Multiple imputation for non-monotone missing not at random data using the no self-censoring model is a research paper published in Statistical Methods in Medical Research (2023). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.75)OA: bronzeTopics (24)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (4)

Stuart R. Lipsitz ORCID,Roger D. Weiss ORCID,Garrett M. Fitzmaurice ORCID,Boyu Ren ORCID

Live enrichment

PubMed:37647237 OpenAlex:https://openalex.org/W4386286506

National Institute on Drug Abuse

Grant: R33 DA042847

National Institute on Drug Abuse

Grant: UG1 DA015831

FWCI

0.75

Citation Percentile

0.7%

Citation Trend

2023

2025

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

journalhttps://journals.sagepub.com/doi/pdf/10.1177/09622802231188520?download=true

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/09622802231188520?download=true

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/09622802231188520

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/09622802231188520

journalhttps://doi.org/10.1177/09622802231188520

Fields of Study

Statistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesStatistical Methods and InferenceModels, StatisticalComputer SimulationLongitudinal StudiesProbability

MeSH Terms

Computer SimulationLongitudinal StudiesProbabilityModels, Statistical

Keywords

Missing dataCensoring (clinical trials)Imputation (statistics)Monotone polygonStatisticsWeightingComputer scienceEconometricsMathematicsMedicineSensitivity analysisMissing At RandomFully Conditional Specification

sj-zip-2-smm-10.1177_09622802231188520 - Supplemental material for Multiple imputation for non-monotone missing not at random data using the no self-censoring model

10.25384/sage.24065092SAGE Journals

sj-pdf-1-smm-10.1177_09622802231188520 - Supplemental material for Multiple imputation for non-monotone missing not at random data using the no self-censoring model

10.25384/sage.24065089SAGE Journals

sj-zip-2-smm-10.1177_09622802231188520 - Supplemental material for Multiple imputation for non-monotone missing not at random data using the no self-censoring model

10.25384/sage.24065092.v1SAGE Journals

sj-pdf-1-smm-10.1177_09622802231188520 - Supplemental material for Multiple imputation for non-monotone missing not at random data using the no self-censoring model

10.25384/sage.24065089.v1SAGE Journals