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Maarten van Smeden Profile picture
@MaartenvSmeden
Sep 16, 2020 • 6 tweets • 4 min read • Read on X
the ultimate reviewer #2 bingo card
key citations 👇
unclear analysis aims
stat.berkeley.edu/~aldous/157/Pa…

evidence of absence fallacy
bmj.com/content/311/70…

data dredging
bmj.com/content/311/70…

noisy data fallacy
science.sciencemag.org/content/355/63…
dichotomania
onlinelibrary.wiley.com/doi/10.1002/si…

table 2 fallacy
academic.oup.com/aje/article/17…

regression to the mean
rss.onlinelibrary.wiley.com/doi/full/10.11…

ignoring dependent observations
academic.oup.com/ije/article/47…
poor reporting
equator-network.org

small sample size
bmcmedresmethodol.biomedcentral.com/articles/10.11…

ignoring missing data
bmj.com/content/338/bm…

data driven variable selection
onlinelibrary.wiley.com/doi/full/10.10…
only apparent predictive performance
journals.lww.com/epidem/Fulltex…

point estimate is the effect


collider
medrxiv.org/content/10.110…

multivariate vs multivariable models
ajph.aphapublications.org/doi/10.2105/AJ…

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More from @MaartenvSmeden

Maarten van Smeden Profile picture
May 9, 2023
People often ask what it takes to develop a successful (clinical) prediction model

Here are TEN important things to avoid
1) Make sure you do not talk to domain experts. They only slow things down
2) Do not clearly define the intended use for the prediction model. It will make your model look boring
Read 11 tweets
Maarten van Smeden Profile picture
Dec 25, 2022
This is my *top 10* favorite methods papers of 2022

Appearing in a single thread and in random order
Disclaimer: this top 10 is personal opinion. I am biased towards explanatory methods and statistics articles relevant to health research

Shameless plugs alert. 3 papers I co-authored but did not lead made the top 10
#1 When designing an individually randomized trial, what covariates should one plan to adjust for? This paper gives excellent practical guidance

Open access 👉 doi.org/10.1186/s13063…
Read 13 tweets
Maarten van Smeden Profile picture
Apr 11, 2022
Yeah, that is not how it works
Apparently I need to update our myths about measurement error paper
doi.org/10.1093/ije/dy…
And if you really want to know about the effects of measurement error on results (conditional or marginal effect), this fabulous tool by @lindanab1 will help you lindanab.shinyapps.io/SensitivityAna…
Read 4 tweets
Maarten van Smeden Profile picture
Mar 17, 2022
Medical Research Bingo Image
🧵with an explanation for each 👇
(posting this primarily as a note to self)
Unclear analysis aims - it often helps to think and clarify whether the (ultimate) goal is to predict, explain or describe. Thinking about analyses is much easier once this is clarified
stat.berkeley.edu/~aldous/157/Pa…
tandfonline.com/doi/abs/10.108…
fox.temple.edu/wp-content/upl… ImageImageImage
Read 19 tweets
Maarten van Smeden Profile picture
Mar 12, 2022
The main problem with badly designed medical prediction models is not research waste or hampering scientific progress. It is the risk that someone takes the model seriously and use it to inform medical decision which can ruin someone’s life
There is no “hypothesis generating” or “too small, but maybe useful for a meta-analysis”. It’s building a tool, probably more that it is a scientific endeavor
Perhaps many of the published prediction models are not developed with the actual intention to eventually be used in (clinical) practice. We can and should do a lot better in flagging not-for-actual use clinical prediction models. And perhaps not publishing the fancy R-shiny app?
Read 5 tweets
Maarten van Smeden Profile picture
Dec 16, 2021
This is my *top 10* favorite methods papers of 2021
Disclaimer: this top 10 is just personal opinion. I’m biased towards explanatory methods and statistics articles relevant to health research, particularly those relating to prediction models.

Shameless plugs alert. Two papers I co-authored (but did not lead) made the top 10
#1: (non-)collapsibility is one of these unintuitive phenomena that can confuse you for the rest of your career. This paper does an excellent job explaining

Open access 👉onlinelibrary.wiley.com/doi/epdf/10.10…
Read 15 tweets

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