Erik van Zwet
@erik-van-zwet.bsky.social
Statistician at the Leiden University Medical Center in the Netherlands.
I wrote something about publication bias at statmodeling.stat.columbia.edu/2025/11/14/t...
November 14, 2025 at 9:17 PM
I wrote something about publication bias at statmodeling.stat.columbia.edu/2025/11/14/t...
Reposted by Erik van Zwet
Even the easiest data requests can require some effort
statmodeling.stat.columbia.edu/2025/10/25/e...
statmodeling.stat.columbia.edu/2025/10/25/e...
Even the easiest data requests can require some effort | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
October 25, 2025 at 6:53 PM
Even the easiest data requests can require some effort
statmodeling.stat.columbia.edu/2025/10/25/e...
statmodeling.stat.columbia.edu/2025/10/25/e...
Reposted by Erik van Zwet
Yongxi Long and colleagues have written an excellent post about when and when not to worry about the proportional odds assumption: discourse.datamethods.org/t/when-and-w... #StatsSky #EpiSky #Statistics #RStats
When and why (not) to worry about the PO assumption
Aim We wrote an article (Long, Wiegers, Jacobs, Steyerberg, & Van Zwet, 2025) about the proportional odds (PO) assumption in the analysis of ordinal outcomes. we use various examples from neurological...
discourse.datamethods.org
October 7, 2025 at 3:08 PM
Yongxi Long and colleagues have written an excellent post about when and when not to worry about the proportional odds assumption: discourse.datamethods.org/t/when-and-w... #StatsSky #EpiSky #Statistics #RStats
Livin' the Bayesian dream!
Prior as data, prior as belief, prior as soft constraint, prior as unconditional distribution in a generative model
statmodeling.stat.columbia.edu/2025/05/21/p...
statmodeling.stat.columbia.edu/2025/05/21/p...
Prior as data, prior as belief, prior as soft constraint, prior as unconditional distribution in a generative model | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
May 21, 2025 at 8:21 PM
Livin' the Bayesian dream!
Reposted by Erik van Zwet
Speaking of the null hypothesis, here is a much better treatment of the "how many experiments are exaggerating the effect" question.
evidence.nejm.org/doi/full/10....
evidence.nejm.org/doi/full/10....
A New Look at P Values for Randomized Clinical Trials
We have examined the primary efficacy results of 23,551 randomized clinical trials
from the Cochrane Database of Systematic Reviews. We estimate that the great majority
of trials have much lower st...
evidence.nejm.org
March 17, 2025 at 2:02 AM
Speaking of the null hypothesis, here is a much better treatment of the "how many experiments are exaggerating the effect" question.
evidence.nejm.org/doi/full/10....
evidence.nejm.org/doi/full/10....
We still writing up the paper, so all comments are more than welcome!
@erik-van-zwet.bsky.social has written a very nice blog discourse.datamethods.org/t/dichotomiz...
on the loss in dichotomising continuous outcomes. There is also a shiny app here vanzwet.shinyapps.io/info_loss/
"Don't cut your measures, cut the habit."
on the loss in dichotomising continuous outcomes. There is also a shiny app here vanzwet.shinyapps.io/info_loss/
"Don't cut your measures, cut the habit."
Dichotomization
I’m writing a paper about “An Empirical Assessment of the Cost of Dichotomization” together with Frank Harrell (@f2harrell) and Stephen Senn (@Stephen). In this paper, we quantify the information loss...
discourse.datamethods.org
March 2, 2025 at 6:33 PM
We still writing up the paper, so all comments are more than welcome!
It has been claimed that there is no such thing as a validated prediction model. We provide empirical evidence for that claim in our new paper here: onlinelibrary.wiley.com/doi/full/10....
February 19, 2025 at 12:17 PM
It has been claimed that there is no such thing as a validated prediction model. We provide empirical evidence for that claim in our new paper here: onlinelibrary.wiley.com/doi/full/10....