CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization

Diagnostics based on large-scale population-level characterization can offer insights into the misclassification errors of PAs.

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Publication Details

Journal
PLoS ONE
Published
2025-01-16
DOI
https://doi.org/10.1371/journal.pone.0310634
Citations
6
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
7.20
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article

CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization

Jill Hardin, Anthony G. Sena, Clair Blacketer, Rupa Makadia et al.
6 citations
PLoS ONE
Health, Environment, Cognitive Aging
7.20
article

CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization

Jill Hardin, Anthony G. Sena, Clair Blacketer, Rupa Makadia, Stephen Fortin, Alan Andryc, Jenna Reps, Frank DeFalco, Nigel Hughes, Gowtham Rao, Azza Shoaibi, Patrick B. Ryan, Joel N. Swerdel, Anthony Molinaro, Martijn J. Schuemie, Mitchell M. Conover, Erica A. Voss, Chris Knoll, James Weaver, James P. Gilbert
article en
6 citations

Abstract

Diagnostics based on large-scale population-level characterization can offer insights into the misclassification errors of PAs.

PLoS ONEVol. 20(1)
University of California, Los Angeles (US), Janssen (United States) (US), Columbia University (US)
Openalex Percentile: Top 3%
Health, Environment, Cognitive Aging
7.20
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CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization — Jill Hardin, Anthony G. Sena, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS