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Auteur Til STURMER |
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Catherine-A PANOZZO ; Department of Epidemiology, University of North Carolina. (Chapel Hill NC, Etats-Unis) ; Sylvia BECKER-DREPS ; Virginia PATE ; David-J WEBER ; Michele-Jonsson FUNK ; Til STURMER ; Malan BROOKHART |[BDSP. Notice produite par INIST-CNRS 87EAR0xE. Diffusion soumise à autorisation]. We demonstrate how direct, indirect, total, and overall effectiveness estimates and absolute benefits of rotavirus vaccines vary through the years following vacci[...]Article
Michele JONSSON FUNK ; Malan BROOKHART ; DAVIDIAN (Marie) : USA. Department of Statistics. North Carolina State University. Raleigh. NC. ; Til STURMER ; WESTREICH (Daniel) : USA. Department of Obstetrics & Gynecology and Global Health Institute. Duke University. Durham. NC. ; WIESEN (Chris) : USA. H W Odum Institute for Research in Social Science. University of North Carolina. Chapel Hill. NC. |[BDSP. Notice produite par INIST-CNRS 8R0xqFss. Diffusion soumise à autorisation]. Doubly robust estimation combines a form of outcome regression with a model for the exposure (i.e., the propensity score) to estimate the causal effect of an expo[...]Article
Mark LUNT ; Robert GLYNN ; Kimme HYRICH ; Kenneth ROTHMAN ; Daniel SOLOMON ; Til STURMER ; Deborah-Pm SYMMONS ; British Society for Rheumatology Biologics Register Control Centre Consortium. GBR ; Division of Pharmocoepidemiology and Pharmacoeconomics. Brigham and Women's Hospital. Boston Massachussetts. USA ; Epidemiology Unit. University of Manchester. Manchester. GBR |[BDSP. Notice produite par INIST-CNRS R0xk9r9l. Diffusion soumise à autorisation]. A number of covariate-balancing methods, based on the propensity score, are widely used to estimate treatment effects in observational studies. If the treatment e[...]Article
Til STURMER ; Jerry AVORN ; GLYNN (Robert-J) : USA. Department of Biostatistics. Harvard School of Public Health. Boston. MA. ; ROTHMAN (Kenneth-J) : USA. Department of Epidemiology. Boston University School of Public Health. Boston. MA. ; SCHNEEWEISS (Sebastian) : USA. Department of Epidemiology. Harvard School of Public Health. Boston. MA. |[BDSP. Notice produite par INIST-CNRS 1txR0xAb. Diffusion soumise à autorisation]. Confounding can be a major source of bias in nonexperimental research. The authors recently introduced propensity score calibration (PSC), which combines propensi[...]Article
Malan BROOKHART ; Jerry AVORN ; Robert-J GLYNN ; ROTHMAN (Kenneth-J) : USA. Departments of Epidemiology and Medicine. Boston University Medical Center. Boston. MA. ; Sebastian SCHNEEWEISS ; Til STURMER ; Brigham and Women's Hospital and Harvard Medical School. Department of Medicine. Division of Pharmacoepidemiology and Pharmacoeconomics. Boston. MA. USA |[BDSP. Notice produite par INIST-CNRS Zc5R0xB1. Diffusion soumise à autorisation]. Despite the growing popularity of propensity score (PS) methods in epidemiology, relatively little has been written in the epidemiologic literature about the prob[...]Article
Til STURMER ; Jerry AVORN ; GLYNN (Robert-J) : USA. Department of Biostatistics. Harvard School of Public Health. Boston. MA. ; SCHNEEWEISS (Sebastian) : USA. Department of Epidemiology. Harvard School of Public Health. Boston. MA. ; Brigham and Women's Hospital. Harvard Medical School. Division of Pharmacoepidemiology and Pharmacoeconomics. Boston. MA. USA ; Brigham and Women's Hospital. Harvard Medical School. Division of Preventive Medicine. Boston. MA. USA |[BDSP. Notice produite par INIST-CNRS UR0xYINm. Diffusion soumise à autorisation]. Often, data on important confounders are not available in cohort studies. Sensitivity analyses based on the relation of single, but not multiple, unmeasured confo[...]Article
Til STURMER ; Jerry AVORN ; Malan BROOKHART ; Robert-J GLYNN ; Kenneth-J ROTHMAN ; Sebastian SCHNEEWEISS ; Harvard Medical School. Brigham and Women's Hospital. Division of Pharmacoepidemiology and Pharmacoeconomics. Boston. MA. USA |[BDSP. Notice produite par INIST-CNRS 291R0xtx. Diffusion soumise à autorisation]. Little is known about optimal application and behavior of exposure propensity scores (EPS) in small studies. In a cohort of 103,133 elderly Medicaid beneficiaries[...]