Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Michael Webster‐Clark

Biographic Data

ID10858292
NAMEMichael Webster‐Clark
GIVEN NAMESMichael
FAMILY NAMEWebster‐Clark
SIGNATURECLARK M W
AFFILIATIONSWake Forest University
ORCID0000-0002-8079-8504
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Differences in the Measurement of Comorbidities Based on ICD-10-CM Coding Definitions Using Medicare Advantage Encounter Data and Fee-For-Service Claims

    Open Access•Emilie D Duchesneau, Allison Musty et al.•ARTICLE•Medical Care•2026•References: 35

    BACKGROUND: Medicare Advantage (MA) encounter data became available for research in 2019; data quality concerns remain. OBJECTIVES: We evaluated the consistency of ICD-10-CM comorbidity coding between MA and Fee-For-Service (FFS) data. METHODS: We used round 7 (2017) of the National Health and Aging Trends Study (NHATS) linked to Medicare enrollment, MA encounter, and FFS claims (2016-2017). We included participants continuously enrolled in MA or…

  • Single-arm Trials With External Comparators and Confounder Misclassification

    Michael Webster-Clark, Michael Webster‐Clark et al.•ARTICLE•Medical Care•2020•References: 28

    BACKGROUND: "Single-arm trials" with external comparators that contrast outcomes in those on experimental therapy to real-world patients have been used to evaluate efficacy and safety of experimental drugs in rare and severe diseases. Regulatory agencies are considering expanding the role these studies can play; guidance thus far has explicitly considered outcome misclassification with little discussion of misclassification of confounding variabl…

No prominent works on this page.

  • Single-arm Trials With External Comparators and Confounder Misclassification

    Michael Webster-Clark, Michael Webster‐Clark et al.•ARTICLE•Medical Care•2020•References: 28

    BACKGROUND: "Single-arm trials" with external comparators that contrast outcomes in those on experimental therapy to real-world patients have been used to evaluate efficacy and safety of experimental drugs in rare and severe diseases. Regulatory agencies are considering expanding the role these studies can play; guidance thus far has explicitly considered outcome misclassification with little discussion of misclassification of confounding variabl…

  • Differences in the Measurement of Comorbidities Based on ICD-10-CM Coding Definitions Using Medicare Advantage Encounter Data and Fee-For-Service Claims

    Open Access•Emilie D Duchesneau, Allison Musty et al.•ARTICLE•Medical Care•2026•References: 35

    BACKGROUND: Medicare Advantage (MA) encounter data became available for research in 2019; data quality concerns remain. OBJECTIVES: We evaluated the consistency of ICD-10-CM comorbidity coding between MA and Fee-For-Service (FFS) data. METHODS: We used round 7 (2017) of the National Health and Aging Trends Study (NHATS) linked to Medicare enrollment, MA encounter, and FFS claims (2016-2017). We included participants continuously enrolled in MA or…

Advanced Causal Inference Techniques (1 work) · Chronic Disease Management Strategies (1 work) · Coding (social sciences) (1 work) · Comorbidity (1 work) · Computer Science (1 work) · Confounding (1 work) · Data mining (1 work) · Diagnosis code (1 work) · Documentation (1 work) · Econometrics (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae