Martijn W Heymans

Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales

Iris Eekhout, Henrica Cw de Vet, Michiel R de Boer, 2018, Statistical methods in medical research.

Longitudinal data analysis with auxiliary item information to deal with missing questionnaire data

Martijn W Heymans, 2014 .

Reply to LTE: Automated segmentation of TMTV in DLBCL patients: what about method measurement uncertainty?

Ronald Boellaard, Henrica Cw de Vet, Martijn W Heymans, 2020, The Journal of Nuclear Medicine.

Developing a Risk Prediction Model for Long-Term Physical and Psychological Functioning after Hematopoietic Cell Transplantation.

Joost Dekker, Martijn W Heymans, J. Dekker, 2016, Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation.

Including auxiliary item information in longitudinal data analyses improved handling missing questionnaire outcome data.

Craig K Enders, Henrica C W de Vet, Iris Eekhout, 2015, Journal of clinical epidemiology.

Explaining the association between educational level and frailty in older adults: results from a 13-year longitudinal study in the Netherlands.

Martijn W Heymans, Martijn Huisman, E. Hoogendijk, 2014, Annals of epidemiology.

Addition of host genetic variants in a prediction rule for post meningitis hearing loss in childhood: a model updating study

Martijn W Heymans, Caroline B Terwee, C. Terwee, 2013, BMC Infectious Diseases.

Dynamic prediction of childhood high blood pressure in a population-based birth cohort: a model development study

Yvonne Vergouwe, Martijn W Heymans, Vincent W V Jaddoe, 2018, BMJ Open.

External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up

Ute Bültmann, Martijn W Heymans, J. Twisk, 2013, BMC Public Health.

Early Prediction of Outcome of Activities of Daily Living After Stroke: A Systematic Review

Gert Kwakkel, Martijn W Heymans, Johannes C F Ket, 2011, Stroke.

The search for stable prognostic models in multiple imputed data sets

Martijn W Heymans, David Vergouw, H. D. de Vet, 2010, BMC medical research methodology.

Prediction of vitamin D deficiency by simple patient characteristics.

Marjolein Visser, Martijn W Heymans, Martin den Heijer, 2014, The American journal of clinical nutrition.

Sequence optimization to reduce velocity offsets in cardiovascular magnetic resonance volume flow quantification - A multi-vendor study

Tino Ebbers, John J Totman, Martin J Graves, 2011, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.