Multiple imputation of systematically missing data on gait speed in the Swedish National Study on Aging and Care-Reference-Cited by-同舟云学术

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Multiple imputation of systematically missing data on gait speed in the Swedish National Study on Aging and Care

Published:2024-02-14 Issue:4 Volume:16 Page:3056-3067
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Thiesmeier Robert¹,Abbadi Ahmad²,Rizzuto Debora²³,Calderón-Larrañaga Amaia²,Hofer Scott M.²⁴,Orsini Nicola¹

Affiliation:

1. Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden

2. Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, and Stockholm University, Stockholm, Sweden

3. Stockholm Gerontology Research Center, Stockholm, Sweden

4. Department of Neurology, Oregon Health and Science University, Portland, OR 97239, USA

Publisher

Impact Journals, LLC

Reference30 articles.

1. External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges.;Collins;BMJ,2016

2. Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE.;Moons;Stat Med,2015

3. Developing and validating risk prediction models in an individual participant data meta-analysis.;Riley;BMC Med Res Methodol,2014

4. Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data.;Thompson;Stat Med,2013

5. Combining multiple imputation and meta-analysis with individual participant data.;Wood;Stat Med,2013

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