Taehee Lee

Radiologist, Interested in computational methods in thoracic imaging

[Richard Riley (R²) @Richard_D_Riley]

Sample size is so very neglected in most prediction model research

Here is a paper from our team that guides researchers toward sample sizes for precise performance estimates in validation studies

And pmvalsampsize is your one line of code to implement it! By @joie_ensor

[The BMJ @bmj_latest]

How should researchers undertake an external validation study?

This article guides readers through the steps involved @Richard_D_Riley https://t.co/Ub2Wlj0lw8

[Matthew McDermott @MattBMcDermott]

Very excited to share a new work on AUPRC, AUROC, and class imbalance: https://t.co/QBm6Khb3Ei
The short of it? Despite widespread belief, AUPRC is not superior to AUROC under general class imbalance and it can exacerbate biases towards subpopulations with higher prevalence.

[Richard Riley (R²) @Richard_D_Riley]

Reminded today about how important this paper is by @laure_wynants @BenVanCalster @ESteyerberg @MaartenvSmeden et al

"Three myths about risk thresholds for prediction models"

Highly recommended reading

https://t.co/T0DRaSMbnQ

[Gary Collins @GSCollins]

NEW PAPER in @bmj_latest (with @Richard_D_Riley) - 1st in a 3 part series on the ‘Evaluation of clinical prediction models’. Part 1 is ‘from development to external validation’.
—> https://t.co/HJM4oukAyY

[Richard Riley (R²) @Richard_D_Riley]

⭐️NEW paper

“Clinical prediction models and the multiverse of madness”

For any model created, a multiverse of other potential models exists & an individual’s prediction may vary greatly across this multiverse

Avengers endgame: examine this instability🙏
https://t.co/djRZwLASN0

[Taehee Lee @tlee_rad]

What an amazing experience at #RSNA23!
Four radiology residents from @SNU_Rad.

[NatureRevClinOncol @NatRevClinOncol]

In a new Perspective, Walia, Tuia & @VPrasadMDMPH discuss the adoption of composite end points in oncology, their pro and cons, and advocate for separate reporting of component events to enable a better understanding of cancer biology and trial results: https://t.co/5LckcxOS6p