Martijn Heymans
130 posts

Martijn Heymans
@mwheymans
Missing Data and Prediction. R packages psfmi and miceafter.
Katılım Ocak 2015
183 Takip Edilen141 Takipçiler

@MaartenvSmeden @UMCUtrecht Happy to confirm my transfer to Julius Center @umcutrecht! Looking forward to new collaborations and strengthening connections with many, including @MaartenvSmeden and @CarlMoons. Sorry to be leaving @bds_lumc, after seven great years in Leiden full of new experiences.
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The big news is out!
We are happy to welcome @ESteyerberg this summer as the new division leader of the Julius Center @umcutrecht. Looking forward to the renewed collaboration
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Martijn Heymans retweetledi

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
doi.org/10.1093/aje/kw…
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Just released on cran, psfmi package version 1.4.0 including new possibility to pool and select stratified Cox models after Multiple Imputation #rstats mwheymans.github.io/psfmi/
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@T_Allen1998 Thanks T. Allen! I am working on a pdf version to download, but can not say when it will become available😅
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@mwheymans I came across your excellent book bookdown.org/mwheymans/book… . Is there a hard copy or pdf version I can buy? Very logical and easy to follow. Thanks.
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Martijn Heymans retweetledi

@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.
sciencedirect.com/science/articl…

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Finding it hard to understand the Cox model and baseline hazard in R. See my post that may help you!
missingdatasolutions.rbind.io/2022/12/cox-ba… #RStats #rstudio
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Martijn Heymans retweetledi

His publications are suggested reading for anyone interested in prognostic modelling for neck pain.
Starting with this systematic review...
pubmed.ncbi.nlm.nih.gov/29289589/
...to this paper failing to externally validate the most promising models:
pubmed.ncbi.nlm.nih.gov/34301471/
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Very proud co-promotor moment: On 15th December 2022, @RoelWing successfully (and very well!) defended his PhD thesis on prognostic modelling for patients with neck pain in primary care @ErasmusMC.
@bartkoes @mwheymans Emiel van Trijffel @ArianneVerhagen
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Martijn Heymans retweetledi

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models jclinepi.com/article/S0895-…
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@GSCollins @JClinEpi @Richard_D_Riley @MaartenvSmeden @CarlMoons @hans_reitsma @pauladhiman @RamBajpai16 @CSMOxford Great line up!
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NEW PAPER in @JClinEpi -> "focus is required on handling of missing values, methods for internal validation, & reporting of calibration to improve [...] studies on #machinelearning-based prediction models" tinyurl.com/3zfjs5wu
#OpenAccess #StatsTwitter #DataScience #MLtwitter

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@f2harrell @vandy_biostat @VUDataScience Thanks for the incredible work you do for the R community and beyond!
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Version 4.7-2 of 32 year-old R Hmisc package available on CRAN with lots of updates hbiostat.org/R/Hmisc #rstats #Statistics #biostatistics @vandy_biostat @VUDataScience

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Martijn Heymans retweetledi

Scary: 73 teams tested the same hypotheses with the same data. Some found negative results, some positive, some nada. No effect of expertise or confirmation bias. "Idiosyncratic researcher variability is a threat to the reliability of scientific findings." osf.io/preprints/meta…

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When the terrain get’s more exciting, I like to give my wife the thrill of going first. #gentlemanly #considerate

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Proud to present this paper about Handling Missing Data in Clinical Research as a Key Concept in Clinical Epidemiology @JClinEpi eur04.safelinks.protection.outlook.com/?url=https%3A%…
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Martijn Heymans retweetledi

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 doi.org/10.1007/s10198…
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Great paper with a great team! ejnmmires.springeropen.com/articles/10.11…
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@Richard_D_Riley @unibirmingham @UoB_IAHR @unibirm_MDS @oldjoeclock @deeksj Congratulations with this step and succes with your work there!
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Personal news👇
In November, I will move to the University of Birmingham (@unibirmingham) as Chair of Biostatistics
Excited to work with a leading Biostats team in @UoB_IAHR @unibirm_MDS & to continue our applied & methods work & courses in prognosis, prediction & meta-analysis

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Martijn Heymans retweetledi

#openaccess Time lags and time interactions in mixed-effects models impacted longitudinal mediation effect estimates jclinepi.com/article/S0895-…
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