Selected Publications

(2014). Curve matching: A data-driven technique to improve individual prediction of childhood growth. Annals of Nutrition & Metabolism, 65(3), 227–233.


(2014). Growth charts of human development. Statistical Methods in Medical Research, (23), 4, 346–368.


(2011). MICE: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1–67.

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(2011). Multiple imputation of multilevel data. The Handbook of Advanced Multilevel Analysis(10), Routledge, Milton Park, UK, 173-196.


(2007). Multiple imputation of discrete and continuous data by fully conditional specification. Statistical Methods in Medical Research, (16), 3, 219–242.


(2001). Worm plot: A simple diagnostic device for modelling growth reference curves. Statistics in Medicine, (20), 8, 1259–1277.


(1999). Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine, (18), 6, 681–694.


Recent Publications

More Publications

(2018). Combining multiple imputation and bootstrap in the analysis of cost-effectiveness trial data. Statistics in Medicine, DOI: 10.1002/sim.7956.

Preprint PDF

(2018). Multiple imputation for multilevel data with continuous and binary variables. Statistical Science, 33(2), 160–183.

Preprint PDF Source Document

(2018). Geostatistical modelling of the association between malaria and child growth in Africa. International Journal of Health Geographics, (17:7).


(2017). Systematic review indicates postnatal growth in term infants born small‐for‐gestational‐age being associated with later neurocognitive and metabolic outcomes. Acta Paediatrica, 106(8), 1230 – 1238.




A simple way to identify overweight and obesity in children

FIMD Online

Flexible Imputation of Missing Data. Second Edition.


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  • Sjoerd Groenmangebouw C1.19, Padualaan 14, 3584 CH Utrecht, The Netherlands; TNO Child Health, Schipholweg 77-89, 2316 ZL Leiden, The Netherlands
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