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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Anna G C Boef1, Saskia le Cessie, Olaf M Dekkers
1From the aDepartment of Clinical Epidemiology, bDepartment of Medical Statistics and Bioinformatics, cDepartment of Endocrinology and Metabolic Diseases, Leiden University Medical Centre, Leiden, The Netherlands; dDepartment of Clinical Epidemiology, Aarhus Medical Centre, Aarhus, Denmark; eBern Institute of General Practice, University of Bern, Bern, Switzerland; fDepartment of Epidemiology and Public Health, University College Cork, Cork, Ireland; gDepartment of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand; hArthritis Research UK Primary Care Centre, Keele University, Keele, Staffordshire, United Kingdom; iInstitute for Evidence-based Medicine in Old age (IEMO), Leiden, The Netherlands; jDepartment of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands; kInstitute of General Practice, Johann Wolfgang Goethe University, Frankfurt, Germany; lDepartment of General Internal Medicine, Inselspital, Bern University Hospital, Bern, Switzerland; mInstitute of General Practice and Health Services Research, University of Zürich, Zürich, Switzerland; nDepartment of Primary and Community Care, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands; oDepartment of Internal Medicine, University Hospital of Zürich, Zürich, Switzerland; pDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, The Netherlands; and qResearch department of Primary Care and Population health, University College London, United Kingdom.
Physician preference significantly influences treatment decisions, impacting instrumental variable studies. While deterministic monotonicity is often implausible, stochastic monotonicity may be viable for physician preference as an instrument.
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