Professor@Duke, Statistician, Data Scientist, Causal Inference researcher
Durham, NC, USA
Joined March 2024
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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When the FDA does their reviews, they notice lots of unpublished studies that tend to show the drugs are less effective.
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
Fan Li retweeted
⚠️For PhDs who are thinking about jumping ship and diving into industry:
Industry isn't necessarily better than academia.
I have straddled both worlds. Here are 5 MYTHS about academia vs. industry:
Fan Li retweeted
I am happy to announce I have been elected to the Society for Causal Inference (sci-info.org) Board as the President-Elect!
Hope to contribute to a bright future for #causalinference