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Auteur GLYNN (Robert-J) : USA. Department of Biostatistics. Harvard School of Public Health. Boston. MA. |
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Article
STURMER (Til) : USA. Department of Epidemiology. Gillings School of Global Public Health. University of North Carolina at Chapel Hill. Chapel Hill. NC. ; Jerry AVORN ; GLYNN (Robert-J) : USA. Department of Biostatistics. Harvard School of Public Health. Boston. MA. ; ROTHMAN (Kenneth-J) : USA. Rti Health Solutions. Research Triangle Park. NC. ; Division of Pharmacoepidemiology and Pharmacoeconomics. Brigham and Women's Hospital. Harvard Medical School. Boston. MA. USA |[BDSP. Notice produite par INIST-CNRS plr9R0xq. Diffusion soumise à autorisation]. Frailty, a poorly measured confounder in older patients, can promote treatment in some situations and discourage it in others. This can create unmeasured confound[...]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
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[...]