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The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study

机译：缺失数据对纵向队列中时间相关暴露分析的影响：模拟研究

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BackgroundMissing data often cause problems in longitudinal cohort studies with repeated follow-up waves. Research in this area has focussed on analyses with missing data in repeated measures of the outcome, from which participants with missing exposure data are typically excluded. We performed a simulation study to compare complete-case analysis with Multiple imputation (MI) for dealing with missing data in an analysis of the association of waist circumference, measured at two waves, and the risk of colorectal cancer (a completely observed outcome).

机译：背景资料的缺失通常会在纵向队列研究中伴随重复的随访波而引起问题。该领域的研究重点是在重复测量结果中缺少数据的分析，通常从中排除暴露数据缺失的参与者。我们进行了一项模拟研究，以比较完整病例分析和多重插补（MI），以分析丢失的数据，分析腰围与腰围之间的相关性（两次波浪测量）以及结直肠癌的风险（完全观察到的结局）。

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期刊名称 Emerging Themes in Epidemiology
作者
Amalia Karahalios; Laura Baglietto; Katherine J Lee; Dallas R English; John B Carlin; Julie A Simpson;
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年(卷),期 2013(10),-1
年度 2013
页码 6
总页数 11
原文格式 PDF
正文语种
中图分类病毒传染病;
关键词
Simulation study Missing exposure Multiple imputation Complete-case analysis Repeated exposure measurement;

机译：模拟研究;缺失暴露;多次归因;整例分析;重复暴露测量;

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1. The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study [J] . Amalia Karahalios, Laura Baglietto, Katherine J Lee, Emerging Themes in Epidemiology . 2013,第1期

机译：缺失数据对纵向队列中时间相关暴露分析的影响：模拟研究
2. The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study [J] . Amalia Karahalios, Laura Baglietto, Katherine J Lee, Emerging themes in epidemiology . 2013,第1期

机译：缺失数据对纵向队列中时间相关暴露分析的影响：模拟研究
3. Impact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study. [J] . Touloumi G, tlas.uoa.gr, Babiker AG, Statistics in medicine . 2001,第24期

机译：纵向研究中因遗失而导致的数据丢失对估计量的影响：模拟研究。
4. Missing data imputation in longitudinal cohort studies - application of PLANN-ARD in breast cancer survival [C] . Ana S. Fernandes, Ian H. Jarman, Terence A. Etchells, International Conference on Machine Learning and Applications . 2008

机译：纵向队列研究中缺少数据局面 - Plann-ARD在乳腺癌存活中的应用
5. Examining the impact of student-level and school-level variables on the disproportionate representation of minority students in special education using data from the Early Childhood Longitudinal Study-Kindergarten cohort. [D] . Ruedel, Kristin L. A. 2008

机译：使用来自儿童早期纵向研究-幼儿园队列的数据，检验学生水平和学校水平变量对少数民族学生在特殊教育中比例过高的影响。
6. The impact of different strategies to handle missing data on both precision and bias in a drug safety study: a multidatabase multinational population-based cohort study [O] . Elisa Martín-Merino, Amaia Calderón-Larrañaga, Samuel Hawley, 2018

机译：药物安全性研究中处理缺失数据的不同策略对准确性和偏倚性的影响：基于多数据库跨国人群的队列研究
7. The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: A simulation study [O] . Karahalios, Amalia, Baglietto, Laura, Lee, Katherine J, 2013

机译：缺失数据对纵向队列中时间相关暴露分析的影响：模拟研究

The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study

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