TY  - JOUR
PY  - 2024//
TI  - Multiple imputation of systematically missing data on gait speed in the Swedish National Study on Aging and Care
JO  - Aging (Albany NY)
A1  - Thiesmeier, Robert
A1  - Abbadi, Ahmad
A1  - Rizzuto, Debora
A1  - Calderón-Larrañaga, Amaia
A1  - Hofer, Scott M.
A1  - Orsini, Nicola
SP  - 
EP  - 
VL  - 16
IS  - 
N2  - BACKGROUND: There is insufficient investigation of multiple imputation for systematically missing discrete variables in individual participant data meta-analysis (IPDMA) with a small number of included studies. Therefore, this study aims to evaluate the performance of three multiple imputation strategies - fully conditional specification (FCS), multivariate normal (MVN), conditional quantile imputation (CQI) - on systematically missing data on gait speed in the Swedish National Study on Aging and Care (SNAC). <br><br>METHODS: In total, 1 000 IPDMA were simulated with four prospective cohort studies based on the characteristics of the SNAC. The three multiple imputation strategies were analysed with a two-stage common-effect multivariable logistic model targeting the effect of three levels of gait speed (100% missing in one study) on 5-years mortality with common odds ratios set to OR(1) = 0.55 (0.8-1.2 vs ≤0.8 m/s), and OR(2) = 0.29 (>1.2 vs ≤0.8 m/s). <br><br>RESULTS: The average combined estimate for the mortality odds ratio OR(1) (relative bias %) were 0.58 (8.2%), 0.58 (7.5%), and 0.55 (0.7%) for the FCS, MVN, and CQI, respectively. The average combined estimate for the mortality odds ratio OR(2) (relative bias %) were 0.30 (2.5%), 0.33 (10.0%), and 0.29 (0.9%) for the FCS, MVN, and CQI respectively. <br><br>CONCLUSIONS: In our simulations of an IPDMA based on the SNAC where gait speed data was systematically missing in one study, all three imputation methods performed relatively well. The smallest bias was found for the CQI approach.<p />  <p>Language: en</p>
LA  - en
SN  - 1945-4589
UR  - http://dx.doi.org/10.18632/aging.205552
ID  - ref1
ER  -