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Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error

The Annals of Applied Statistics(2023)10.1214/22-aoas1682Source: DataRank Database

Estimation and inference for exposure effects with latency in the Cox proportional hazards model in the presence of exposure measurement error is a research paper published in The Annals of Applied Statistics (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: greenTopics (25)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

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 (4)

Ning Zhang ORCID,Donna Spiegelman ORCID,Molin Wang ORCID,Sarah B. Peskoe ORCID

Live enrichment

PubMed:40291478 PMC:PMC12030117 OpenAlex:https://openalex.org/W4367598644

NIDCD NIH HHS

Grant: R01 DC017717

NIEHS NIH HHS

Grant: R01 ES026246

FWCI

0.00

Citation Percentile

0.0%

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12030117/pdf/nihms-2016613.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12030117

journalhttp://dx.doi.org/10.1214/22-aoas1682

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40291478

Fields of Study

Air Quality and Health ImpactsStatistical Methods and Bayesian InferenceHealth Systems, Economic Evaluations, Quality of Life

Keywords

StatisticsInferenceProportional hazards modelLatency (audio)Confidence intervalHazard ratioObservational errorEconometricsLinear regressionStandard errorEstimationComputer scienceMedicineMathematicsArtificial intelligenceEngineeringMeasurement errorCox Proportional Hazard ModelTime-varying ExposureExposure MetricsCumulative Average ExposureLatency Parameter

Sustainable Development Goals

SDG 0: Zero hunger