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Jonathan R Nebeker

Biographic Data

ID5537003
NAMEJonathan R Nebeker
GIVEN NAMESJonathan R
FAMILY NAMENebeker
SIGNATURENEBEKER J R
AFFILIATIONSIntermountain Healthcare
ORCID0000-0001-5355-5008
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression

    Ozgur Ozmen, Everett Rush et al.•ARTICLE•Medical Care•2025•References: 22

    OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns. DATA SOURCES: United States Veterans Health Administration Corporate Data Warehouse. STUDY DESIGN: For Operation Enduring Freedom/Operation Iraqi Freedom veterans with major depressive disorder, we generate pharmacother…

  • Comparing Adherence to Two Different HIV Antiretroviral Regimens

    Open Access•Richard E Nelson, Jonathan R Nebeker et al.•ARTICLE•AIDS and Behavior•2012

  • A Simulation-Based Evaluation of Methods to Estimate the Impact of an Adverse Event on Hospital Length of Stay

    Matthew H Samore, Shuying Shen et al.•ARTICLE•Medical Care•2007•References: 48

    INTRODUCTION: We used agent-based simulation to examine the problem of time-varying confounding when estimating the effect of an adverse event on hospital length of stay. Conventional analytic methods were compared with inverse probability weighting (IPW). METHODS: A cohort of hospitalized patients, at risk for experiencing an adverse event, was simulated. Synthetic individuals were assigned a severity of illness score on admission. The score var…

  • Developing Indicators of Inpatient Adverse Drug Events Through Nonlinear Analysis Using Administrative Data

    Jonathan R Nebeker, Paul R Yarnold et al.•ARTICLE•Medical Care•2007•References: 21

    BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying…

  • Out-of-Pocket Pharmacy Expenditures for Veterans Under Medicare Part D

    Randall Rupper, Randall W Rupper et al.•ARTICLE•Medical Care•2007•References: 9

    OBJECTIVES: Because the VA pharmacy benefit is deemed equivalent coverage to Medicare Part D, veterans can use either or both of these Federal benefits. We sought to determine how these programs' different benefit structures and low-income assistance thresholds would affect pharmacy out-of-pocket expenses for veterans. METHODS: We reviewed income and asset tests performed at the Salt Lake City VA in fiscal year 2005, and estimated the number of i…

No prominent works on this page.

  • A Simulation-Based Evaluation of Methods to Estimate the Impact of an Adverse Event on Hospital Length of Stay

    Matthew H Samore, Shuying Shen et al.•ARTICLE•Medical Care•2007•References: 48

    INTRODUCTION: We used agent-based simulation to examine the problem of time-varying confounding when estimating the effect of an adverse event on hospital length of stay. Conventional analytic methods were compared with inverse probability weighting (IPW). METHODS: A cohort of hospitalized patients, at risk for experiencing an adverse event, was simulated. Synthetic individuals were assigned a severity of illness score on admission. The score var…

  • Developing Indicators of Inpatient Adverse Drug Events Through Nonlinear Analysis Using Administrative Data

    Jonathan R Nebeker, Paul R Yarnold et al.•ARTICLE•Medical Care•2007•References: 21

    BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying…

  • Out-of-Pocket Pharmacy Expenditures for Veterans Under Medicare Part D

    Randall Rupper, Randall W Rupper et al.•ARTICLE•Medical Care•2007•References: 9

    OBJECTIVES: Because the VA pharmacy benefit is deemed equivalent coverage to Medicare Part D, veterans can use either or both of these Federal benefits. We sought to determine how these programs' different benefit structures and low-income assistance thresholds would affect pharmacy out-of-pocket expenses for veterans. METHODS: We reviewed income and asset tests performed at the Salt Lake City VA in fiscal year 2005, and estimated the number of i…

  • Comparing Adherence to Two Different HIV Antiretroviral Regimens

    Open Access•Richard E Nelson, Jonathan R Nebeker et al.•ARTICLE•AIDS and Behavior•2012

  • Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression

    Ozgur Ozmen, Everett Rush et al.•ARTICLE•Medical Care•2025•References: 22

    OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns. DATA SOURCES: United States Veterans Health Administration Corporate Data Warehouse. STUDY DESIGN: For Operation Enduring Freedom/Operation Iraqi Freedom veterans with major depressive disorder, we generate pharmacother…

Medicine (5 works) · Internal Medicine (3 works) · Adverse effect (2 works) · Computer Science (2 works) · Family medicine (2 works) · Health care (2 works) · Instrumental variable (2 works) · Internal Medicine (2 works) · Mathematics (2 works) · Pharmacy (2 works)

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