Martijn Heymans

Missing Data and Prediction. R packages psfmi and miceafter.

[Martijn Heymans @mwheymans]

@ESteyerberg @MaartenvSmeden @UMCUtrecht @CarlMoons @bds_lumc Succes Ewout!

[Am J Epidemiology @AmJEpi]

In AJE:

Missing data? Don't drop observations! A longitudinal study in @hrsisr shows multiple imputation with predictive mean matching performs well, is easy to implement, and helps recover unbiased results

https://t.co/tVQjbMEzzG

[Martijn Heymans @mwheymans]

Just released on cran, psfmi package version 1.4.0 including new possibility to pool and select stratified Cox models after Multiple Imputation #rstats https://t.co/tdIxIZpckI

[Martijn Heymans @mwheymans]

@T_Allen1998 Thanks T. Allen! I am working on a pdf version to download, but can not say when it will become available😅

[Alessandro Chiarotto @PhysioAlex]

@RoelWing just published his last PhD paper in the @JPhysiother!

A prognostic model for neck-related disability in patients with sub-acute neck pain was externally validated at 6 weeks with acceptable discrimination and calibration.

https://t.co/mxL8p9sXJo

[Martijn Heymans @mwheymans]

Finding it hard to understand the Cox model and baseline hazard in R. See my post that may help you!
https://t.co/RFH5l6B2YD #RStats #rstudio

[Alessandro Chiarotto @PhysioAlex]

His publications are suggested reading for anyone interested in prognostic modelling for neck pain.

Starting with this systematic review...
https://t.co/l8JijhviOT

...to this paper failing to externally validate the most promising models:
https://t.co/kyDyyeWLpj

2/3

[Martijn Heymans @mwheymans]

@PhysioAlex @RoelWing @ErasmusMC @bartkoes @ArianneVerhagen Great defense!

[Miquel Porta @miquelporta]

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models https://t.co/7uXuFbhDwU

[Martijn Heymans @mwheymans]

@GSCollins @JClinEpi @Richard_D_Riley @MaartenvSmeden @CarlMoons @hans_reitsma @pauladhiman @RamBajpai16 @CSMOxford Great line up!

[Martijn Heymans @mwheymans]

@f2harrell @vandy_biostat @VUDataScience Thanks for the incredible work you do for the R community and beyond!

[Journal of Clinical Epidemiology @JClinEpi]

@mwheymans

[Martijn Heymans @mwheymans]

@SteveStuWill How academics lose their jobs...🙈

[Martijn Heymans @mwheymans]

@stephensenn Great picture!

[Martijn Heymans @mwheymans]

Proud to present this paper about Handling Missing Data in Clinical Research as a Key Concept in Clinical Epidemiology @JClinEpi https://t.co/qBhL9hTJhA

[Judith Bosmans @judithbosmans]

Ever wondered whether it is necessary to impute cost data before using longitudinal linear mixed-model analyses? Check out our paper below for the answer! @hannekevandonge @VroomenJanet @mwheymans https://t.co/6ngH7m3X8m

[Martijn Heymans @mwheymans]

Great paper with a great team! https://t.co/o2YL5I3s2P

[Martijn Heymans @mwheymans]

@Richard_D_Riley @unibirmingham @UoB_IAHR @unibirm_MDS @oldjoeclock @deeksj Congratulations with this step and succes with your work there!

[Journal of Clinical Epidemiology @JClinEpi]

#openaccess Time lags and time interactions in mixed-effects models impacted longitudinal mediation effect estimates https://t.co/IFVoPGIS8e

[Martijn Heymans @mwheymans]

@BhramarBioStat @Richard_D_Riley See https://t.co/9vqhDruXuc