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Kevin J Anstrom

Biographic Data

ID5535802
NAMEKevin J Anstrom
GIVEN NAMESKevin J
FAMILY NAMEAnstrom
SIGNATUREANSTROM K J
AFFILIATIONSDuke Medical Center
ORCID0000-0001-6452-2172
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2007
H-INDEX0
  • Using Inverse Probability-Weighted Estimators in Comparative Effectiveness Analyses With Observational Databases

    Lesley H Curtis, Bradley G Hammill et al.•ARTICLE•Medical Care•2007•References: 20

    Inverse probability-weighted estimation is a powerful tool for use with observational data. In this article, we describe how this propensity score-based method can be used to compare the effectiveness of 2 or more treatments. First, we discuss the inherent problems in using observational data to assess comparative effectiveness. Next, we provide a conceptual explanation of inverse probability-weighted estimation and point readers to sources that …

  • The Insurance Effect on Prescription Drug Expenditures Among the Elderly

    Lesley H Curtis, Amy Law et al.•ARTICLE•Medical Care•2004•References: 14

    BACKGROUND: Despite continuing debate over a prescription drug benefit for the Medicare program, there has been relatively little research estimating the potential cost of providing such a benefit. OBJECTIVE: The objective of this study was to estimate the effect of prescription drug insurance on outpatient prescription drug expenditures among the elderly. RESEARCH DESIGN: We studied respondents aged > or =65 years to the 1997 Medical Expenditure…

  • Assessing the Clinical and Economic Burden of Coronary Artery Disease

    Eric L Eisenstein, Linda K Shaw et al.•ARTICLE•Medical Care•2001•References: 25

    BACKGROUND: The acute phase of coronary artery disease (CAD) is dramatic and receives much attention because of its high mortality and associated treatment cost. However, the acute phase typically resolves within 30 days whereas CAD is a chronic disease, which most patients will live with for more than a decade. We compared the clinical and economic burden of CAD during the acute phase (first 30 days) with that in the postacute phase (31st day th…

No prominent works on this page.

  • Assessing the Clinical and Economic Burden of Coronary Artery Disease

    Eric L Eisenstein, Linda K Shaw et al.•ARTICLE•Medical Care•2001•References: 25

    BACKGROUND: The acute phase of coronary artery disease (CAD) is dramatic and receives much attention because of its high mortality and associated treatment cost. However, the acute phase typically resolves within 30 days whereas CAD is a chronic disease, which most patients will live with for more than a decade. We compared the clinical and economic burden of CAD during the acute phase (first 30 days) with that in the postacute phase (31st day th…

  • The Insurance Effect on Prescription Drug Expenditures Among the Elderly

    Lesley H Curtis, Amy Law et al.•ARTICLE•Medical Care•2004•References: 14

    BACKGROUND: Despite continuing debate over a prescription drug benefit for the Medicare program, there has been relatively little research estimating the potential cost of providing such a benefit. OBJECTIVE: The objective of this study was to estimate the effect of prescription drug insurance on outpatient prescription drug expenditures among the elderly. RESEARCH DESIGN: We studied respondents aged > or =65 years to the 1997 Medical Expenditure…

  • Using Inverse Probability-Weighted Estimators in Comparative Effectiveness Analyses With Observational Databases

    Lesley H Curtis, Bradley G Hammill et al.•ARTICLE•Medical Care•2007•References: 20

    Inverse probability-weighted estimation is a powerful tool for use with observational data. In this article, we describe how this propensity score-based method can be used to compare the effectiveness of 2 or more treatments. First, we discuss the inherent problems in using observational data to assess comparative effectiveness. Next, we provide a conceptual explanation of inverse probability-weighted estimation and point readers to sources that …

Medicine (3 works) · Actuarial science (1 work) · Acute coronary syndrome (1 work) · Acute Myocardial Infarction Research (1 work) · Advanced Causal Inference Techniques (1 work) · Angina (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Business (1 work)

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