Two-wave two-phase outcome-dependent sampling designs, with applications to longitudinal binary data.

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作者： Ran,Tao ^[1] ; Nathaniel D,Mercaldo ^[2] ; Sebastien,Haneuse ^[3] ; Jacob M,Maronge ^[4] ; Paul J,Rathouz ^[5] ; Patrick J,Heagerty ^[6] ; Jonathan S,Schildcrout ^[7]

作者单位： Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA. ^[1] Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA. ^[2] Departments of Radiology and Neurology, Massachusetts General Hospital and Harvard University, Boston, Massachusetts, USA. ^[3] Department of Biostatistics, Harvard University, Boston, Massachusetts, USA. ^[4] Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA. ^[5] Department of Population Health, University of Texas, Austin, Texas, USA. ^[6] Department of Biostatistics, University of Washington, Seattle, Washington, USA. ^[7]

关键词 ascertainment corrected maximum likelihood marginal model marginalized model multiple imputation multiwave design time-dependent covariate

主题词队列研究(Cohort Studies);人类(Humans);纵向研究(Longitudinal Studies);模型, 统计学(Models, Statistical);研究设计(Research Design);样本大小(Sample Size)

DOI 10.1002/sim.8876

PMID 33442883

发布时间 2022-04-16

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准确一般字义偏差语意偏离译文作用小提交