Alternative analytic and matching approaches for the prevalent new-user design: A simulation study.

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第一作者： Michael,Webster-Clark

第一单位： Department of Epidemiology, Gillings Schools of Global Public Health, UNC Chapel Hill, Chapel Hill, North Carolina, USA.

作者： Michael,Webster-Clark ^[1] ; Panagiotis,Mavros ^[2] ; Elizabeth M,Garry ^[3] ; Til,Stürmer ^[4] ; Shahar,Shmuel ^[5] ; Jessica,Young ^[1] ; Cynthia,Girman ^[6]

作者单位： Department of Epidemiology, Gillings Schools of Global Public Health, UNC Chapel Hill, Chapel Hill, North Carolina, USA. ^[1] Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada. ^[2] Janssen Scientific Affairs LLC, the Janssen Pharmaceutical Companies of J&J, Titusville, New Jersey, USA. ^[3] KREDHERA, LLC, Hampton, New Jersey, USA. ^[4] Scientific Research, Aetion, Inc., New York, New York, USA. ^[5] Cecil G Sheps Center for Health Services Research, UNC Chapel Hill, Chapel Hill, North Carolina, USA. ^[6] CERobs Consulting, LLC, Wrightsville Beach, North Carolina, USA. ^[7]

关键词 matching methods outcome modeling prevalent new user weighting

主题词队列研究(Cohort Studies);计算机模拟(Computer Simulation);人类(Humans);倾向性评分(Propensity Score);研究设计(Research Design)

DOI 10.1002/pds.5446

PMID 35505471

发布时间 2022-12-13

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