Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets-Reference-Cited by-同舟云学术

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Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets

Published:2019-05-13 Issue:2 Volume:74 Page:125-136
ISSN:0003-1305
Container-title:The American Statistician
language:en
Short-container-title:The American Statistician

Author:

Nassiri Vahid¹^ORCID,Molenberghs Geert¹²^ORCID,Verbeke Geert¹²^ORCID,Barbosa-Breda João³⁴⁵^ORCID

Affiliation:

1. I-BioStat, KU Leuven, Leuven, Belgium;

2. I-BioStat, Universiteit Hasselt, Hasselt, Belgium;

3. Ophthalmology Department, Centro Hospitalar São João, Porto, Portugal;

4. Surgery and Physiology Unit, Faculty of Medicine of the University of Porto, Porto, Portugal;

5. Research Group Ophthalmology, KU Leuven, Leuven, Belgium

Funder

IAP research network

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00031305.2018.1543615

Reference31 articles.

1. Stein's method and a quantitative Lindeberg CLT for the Fourier transforms of random vectors

2. What Improves with Increased Missing Data Imputations?

3. Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

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