🚨 New paper alert 🚨
Peripheral Blood Cells as Prognostic Markers in Patients with Advanced NSCLC Treated with Cemiplimab (mono or +chemo)
Key Findings:
⬆️ NLR & Monocytes = worse survival
⬆️ Eosinophils = better survival
Read about our work: https://t.co/1YyFRwanMD
Biologists, stop putting UMAP plots in your papers!
UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead to confusion and misinterpretation.
Link to @simplystats blogpost below.
The latest version of the excessmort package is now on CRAN. With just a few lines of code, you can create informative plots like the one below.
A recent paper shows that our method for estimating excess mortality outperforms the widely used WHO method: https://t.co/pp2F9tkBeU
Want to test the effect of events/behavior at every trial time-point in photometry analyses?? Pre-print w/ @erjiastats, @LovingerDavid, @fpereira: "A Statistical Framework for Analysis of Trial-Level Temporal Dynamics in Fiber Photometry Experiments" https://t.co/7vsdkdkncF. 1/13
I’m presenting at the 6th Annual Digital Biomarkers in Clinical Trials Summit next week. Join us to learn more about #digitalhealth and #digitalbiomarkers in #clinicaltrials.
More info here: https://t.co/kbBwkx3tah
This paper was really fun!
We give new methods for estimating bounds on the avg treatment effect -- here trt is confounded, but you have an instrumental variable. Super common setting in practice
The bounds are non-smooth, so std nonparametric efficiency theory isn't applicable