Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?-Reference-Cited by-同舟云学术

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Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?

Published:2023-10-12 Issue:1 Volume:66 Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical J

Author:

Morris Tim P.¹^ORCID,White Ian R.¹^ORCID,Cro Suzie²^ORCID,Bartlett Jonathan W.³^ORCID,Carpenter James R.¹³^ORCID,Pham Tra My¹^ORCID

Affiliation:

1. MRC Clinical Trials Unit at UCL University College London London UK

2. Imperial Clinical Trials Unit Imperial College London London UK

3. Department of Medical Statistics London School of Hygiene and Tropical Medicine London UK

Abstract

AbstractFor simulation studies that evaluate methods of handling missing data, we argue that generating partially observed data by fixing the complete data and repeatedly simulating the missingness indicators is a superficially attractive idea but only rarely appropriate to use.

Funder

Health Technology Assessment programme

Medical Research Council

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202300085

Reference16 articles.

1. Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching

2. Miscellanea. Small-sample degrees of freedom with multiple imputation

3. A toolkit in SAS for the evaluation of multiple imputation methods

4. Missing data: A statistical framework for practice

5. Comparison of imputation variance estimators

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