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Literature DB >> 33480404

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

Miguel Marino^1,2, Jennifer Lucas¹, Emile Latour³, John D Heintzman^1,4.

Abstract

Entities: Chemical

Mesh：

Year: 2021 PMID： 33480404 PMCID： PMC8243609 DOI： 10.1093/fampra/cmaa134

Source DB: PubMed Journal: Fam Pract ISSN： 0263-2136 Impact factor: 2.267

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References

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33 in total

1. Strategies to fit pattern-mixture models.

Authors: Herbert Thijs; Geert Molenberghs; Bart Michiels; Geert Verbeke; Desmond Curran
Journal: Biostatistics Date: 2002-06 Impact factor: 5.899

2. Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.

Authors: Rolf H H Groenwold; Ian R White; A Rogier T Donders; James R Carpenter; Douglas G Altman; Karel G M Moons
Journal: CMAJ Date: 2012-02-27 Impact factor: 8.262

3. Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example.

Authors: Mirjam J Knol; Kristel J M Janssen; A Rogier T Donders; Antoine C G Egberts; E Rob Heerdink; Diederick E Grobbee; Karel G M Moons; Mirjam I Geerlings
Journal: J Clin Epidemiol Date: 2010-03-25 Impact factor: 6.437

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

1. Strategies to fit pattern-mixture models.

2. Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.

3. Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example.

Review 4. Review of inverse probability weighting for dealing with missing data.

5. Selection Bias Due to Loss to Follow Up in Cohort Studies.

6. Outcome-sensitive multiple imputation: a simulation study.

7. Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial.

8. Medicaid coverage accuracy in electronic health records.

9. The proportion of missing data should not be used to guide decisions on multiple imputation.

10. Health indicator recording in UK primary care electronic health records: key implications for handling missing data.