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Megan Schuler

Biographic Data

ID3928754
NAMEMegan Schuler
GIVEN NAMESMegan
FAMILY NAMESchuler
SIGNATURESCHULER M
AFFILIATIONSDepartment of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore MD
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX1
  • The segregation of physician networks providing care to black and white patients with heart disease

    Open Access•Irina Popescu, C Ben Gibson et al.•ARTICLE•Social Science & Medicine•2024•Cited by: 1•References: 43

  • Generalizing Observational Study Results

    Open Access•Eva H DuGoff, Megan S Schuler et al.•ARTICLE•Health Services Research•2014

    OBJECTIVE: To provide a tutorial for using propensity score methods with complex survey data. DATA SOURCES: Simulated data and the 2008 Medical Expenditure Panel Survey. STUDY DESIGN: Using simulation, we compared the following methods for estimating the treatment effect: a naïve estimate (ignoring both survey weights and propensity scores), survey weighting, propensity score methods (nearest neighbor matching, weighting, and subclassification), …

  • The segregation of physician networks providing care to black and white patients with heart disease

    Open Access•Irina Popescu, C Ben Gibson et al.•ARTICLE•Social Science & Medicine•2024•Cited by: 1•References: 43

  • Generalizing Observational Study Results

    Open Access•Eva H DuGoff, Megan S Schuler et al.•ARTICLE•Health Services Research•2014

    OBJECTIVE: To provide a tutorial for using propensity score methods with complex survey data. DATA SOURCES: Simulated data and the 2008 Medical Expenditure Panel Survey. STUDY DESIGN: Using simulation, we compared the following methods for estimating the treatment effect: a naïve estimate (ignoring both survey weights and propensity scores), survey weighting, propensity score methods (nearest neighbor matching, weighting, and subclassification), …

  • The segregation of physician networks providing care to black and white patients with heart disease

    Open Access•Irina Popescu, C Ben Gibson et al.•ARTICLE•Social Science & Medicine•2024•Cited by: 1•References: 43

Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Advanced Causal Inference Techniques (1 work) · Comparative effectiveness research (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Confounding (1 work) · Demography (1 work) · Demography (1 work)

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