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Missing data in primary care research: importance, implications and approaches.

作者信息

Marino Miguel, Lucas Jennifer, Latour Emile, Heintzman John D

机构信息

Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA.

School of Public Health, Oregon Health & Science University - Portland State University, Portland, OR, USA.

出版信息

Fam Pract. 2021 Mar 29;38(2):200-203. doi: 10.1093/fampra/cmaa134.

DOI:10.1093/fampra/cmaa134
PMID:33480404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8243609/
Abstract
摘要

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本文引用的文献

1
The proportion of missing data should not be used to guide decisions on multiple imputation.缺失数据的比例不应用于指导多重插补的决策。
J Clin Epidemiol. 2019 Jun;110:63-73. doi: 10.1016/j.jclinepi.2019.02.016. Epub 2019 Mar 13.
2
Health indicator recording in UK primary care electronic health records: key implications for handling missing data.英国初级医疗电子健康记录中的健康指标记录：处理缺失数据的关键影响
Clin Epidemiol. 2019 Feb 11;11:157-167. doi: 10.2147/CLEP.S191437. eCollection 2019.
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Medicaid coverage accuracy in electronic health records.电子健康记录中医疗补助覆盖的准确性。
Prev Med Rep. 2018 Jul 27;11:297-304. doi: 10.1016/j.pmedr.2018.07.009. eCollection 2018 Sep.
4
Statistical primer: how to deal with missing data in scientific research?统计学基础：如何处理科研中的缺失数据？
Interact Cardiovasc Thorac Surg. 2018 Aug 1;27(2):153-158. doi: 10.1093/icvts/ivy102.
5
Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.基于试验的成本效益分析中对非随机缺失数据的敏感性分析：教程。
Pharmacoeconomics. 2018 Aug;36(8):889-901. doi: 10.1007/s40273-018-0650-5.
6
When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts.何时以及如何在随机临床试验中使用多重插补来处理缺失数据——附流程图的实用指南。
BMC Med Res Methodol. 2017 Dec 6;17(1):162. doi: 10.1186/s12874-017-0442-1.
7
Principled Approaches to Missing Data in Epidemiologic Studies.原则性方法在流行病学研究中的缺失数据处理。
Am J Epidemiol. 2018 Mar 1;187(3):568-575. doi: 10.1093/aje/kwx348.
8
Inverse-Probability-Weighted Estimation for Monotone and Nonmonotone Missing Data.反向概率加权估计在单调和非单调缺失数据中的应用。
Am J Epidemiol. 2018 Mar 1;187(3):585-591. doi: 10.1093/aje/kwx350.
9
Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care.电子健康记录中缺失数据相关的挑战：使用斯洛文尼亚初级保健数据的糖尿病风险预测模型的案例研究。
Health Informatics J. 2019 Sep;25(3):951-959. doi: 10.1177/1460458217733288. Epub 2017 Oct 13.
10
Missing data and multiple imputation in clinical epidemiological research.临床流行病学研究中的缺失数据与多重填补
Clin Epidemiol. 2017 Mar 15;9:157-166. doi: 10.2147/CLEP.S129785. eCollection 2017.