Professor@Duke, Statistician, Data Scientist, Causal Inference researcher
Durham, NC, USA
Joined March 2024
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Done another semester teaching causal inference🙂. Updated my course slides, added survival data, labs, corrected more typos this time. Close to 800 pages now. Always more to update next year.
www2.stat.duke.edu/~fl35/Cau…
Try our new online calculator for sample size and power calculations for causal inference in observational studies, e.g. target trial emulation, which turns out to be simple -- only requiring two inputs besides the standard RCT inputs.
www2.stat.duke.edu/~fl35/psp…
I was often asked by practitioners about power calculations for causal inference with observational data, a hard problem with little leads. Finally had a clean solution, thanks to my spectacular student Bo Liu. Here it is:
arxiv.org/abs/2501.11181
cran.r-project.org/web/packa…
Fan Li retweeted
This is an interesting and useful trick. However, centering factors has some special restrictions on the estimated factorial effects when there are more than 3 factors (3 is the magic number there!). This motivates us to write this paper: academic.oup.com/biomet/arti…
Fan Li retweeted
The word ‘algorithm’ is surprisingly old. It was derived from ‘algorizmi’, the Latinised surname of the mathematician Abu Ja'far Mohammed Ben Musa Al-Khwarizmi (c. 780 - c.850). His writings were translated into Latin by Robert of Chester in the 12th c. 1/3
ALT the mathematician Abu Ja'far Mohammed Ben Musa Al-Khwarizmi (c. 780 - c.850).
ALT Latin translation of Al-Khwarizmi' writings . It starts with “Dixit algorizmi “Algorithmi says.”
Fan Li retweeted
🧵 New Special Communication examines drawing causal inferences about the effects of interventions from observational studies in medical journals and suggests a framework that might be used.
ja.ma/3UxeAjL
Fan Li retweeted
In @AmstatNews JASA, Anqi Zhao & @pengding00 consider alternative strategies to address covariate missingness in randomized experiments and recommend including missingness indicators when estimating average treatment effects.
tandfonline.com/doi/abs/10.1…
Fan Li retweeted
Writing is more than a vehicle for communicating ideas. It's a tool for crystallizing ideas.
Writing exposes gaps in your knowledge and logic. It pushes you to articulate assumptions and consider counterarguments.
One of the best paths to sharper thinking is frequent writing.
Fan Li retweeted
Peer reviewed publications overstate how well anti-depressants work because the published literature omits lots of conflicting results🧵
When the FDA does their reviews, they notice lots of unpublished studies that tend to show the drugs are less effective.
Excellent point. Serving as the editor for Social Science, Biostatistics, Policy at Annals of Applied Statistics, I have spent countless hours reviewing papers, burned social capitals, offending many authors (rejecting their papers). My stipend? 0. Is the system sustainable?
I am honored to be offered the job of Editor-in-Chief of Health Economics @HECJournalTweet, replacing the excellent Sally Stearns (@GillingsGlobal).
I plan to reject this offer. Why?
Fan Li retweeted
Hi #EconTwitter! 📈
Curious about the Bayesian take on causal inference?
If so, you should check out the material from @FanLiDuke's (@DukeU) "Bayesian Causal Inference" course, along with the review paper by @FanLiDuke and @fabri_mealli (@UNI_FIRENZE)! 📚
They carefully present the Bayesian perspective on causal inference based on the potential outcomes framework.
Highly recommended! ⭐️
Links:
- Course: www2.stat.duke.edu/~fl35/Bay…
- Review paper: arxiv.org/abs/2206.15460
Another great book draft (on linear models) from Peng Ding @pengding00. Clean, clear, and concise. Very up-to-date.
[Download 400-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: arxiv.org/abs/2401.00649
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#Mathematics #DataScience #LinearAlgebra #Statistics
