Fan Li

Associate Professor, Department of Biostatistics @ysphbiostat @YaleSPH. Biostatistics, clinical trials, observational studies, causal inference, clustered data.

[Michael Harhay @Michael_Harhay]

Trial Analysis & Interpretation in Critical Care Using the Evidential (Likelihood) Approach

OA @ATSBlueEditor:
https://t.co/xCmMgHfHaN

Frequentist, Bayesian, & evidential approaches form a complementary toolkit for critical care research.

@f_g_zampieri @FanLi90 @nualameyer

[Fan Li @FanLi90]

At the Center for Methods in Implementation and Prevention Science (CMIPS) at the Yale School of Public Health @YaleSPH, we develop and apply rigorous biostatistical and epidemiological methods to address these gaps and accelerate real-world impact.

[Yale School of Public Health @YaleSPH]

"Without any new cures for anything, we could actually prevent and mitigate 80% or more of most of the world's health problems." That's where #ImplementationScience comes in.

Learn more: https://t.co/DvFZKQlCFJ @FanLi90 @LDavisMD
https://t.co/la2GovXMv8

[Colin Begg @ColinBBegg]

Bothered by the proliferation of stepped-wedge clinical trials with very few clusters? Guanyu Tong and colleagues study this issue and offer advice. @TonyGuangyuTONG @YaleCardiology @ysphbiostat @SCTorg @MonicaTaljaard

[Yale School of Public Health @YaleSPH]

Big data is transforming public health and society like never before.

This summer, we are launching the Big Data Summer Immersion at Yale (BDSY), an interdisciplinary training, research, and professional development program in biostatistics.

1/4
https://t.co/H5DAu275S7

[Fan Li @FanLi90]

Ready to transform your analytical skills in the BIG data era? Join us at @YaleSPH for the Big Data Summer Immersion program! This 6-week program introduces undergraduate students to cutting-edge challenges in Big Data, Statistics, and Human Health. Applications open on Dec 15.

[Xi Chen | 陈希 @xcyale]

@HuoShutong @Jiao_Jo_Yu @geronsociety @YaleSPH @Yale_OAIC @rolandjthorpe @Zhuoer_Lin @ZyLiuYale @BeccaLevyPhD @XYinOSU . @Yuting_Qian_ presents work “Multilevel Factors Associated With Racial and Ethnic Disparities in Timely Diagnosis of Dementia in US Older Adults” in a session on #Alzheimer's disease and related dementias.

Joint work w @FanLi90

@geronsociety @YaleSPH @Yale_OAIC @YaleHPM

8/

[Fan Li @FanLi90]

In this new paper led by @BingkaiWang, we showed that stepped wedge randomization can guard against covariate, random-effects, and error structure misspecifications, though treatment effect structure still requires careful consideration.
https://t.co/fl7jj7nkhk

[Yale Nephrology @YaleNephrology]

@Nephronette presented her RCT of Early, Individualized Recommendations for Hospitalized Patients With AKI on the big stage at @ASNKidney #KidneyWk as it was being released online in @JAMA_current !

Check it out 👇! Congrats to the whole KAT-AKI Team!

https://t.co/dBaXNN7ltD

[Fan Li @FanLi90]

Excited to share our new paper in Biometrika! We make quantile causal inference accessible by introducing an inverse estimating equations approach that extends causal estimation from mean potential outcomes to their quantiles. https://t.co/piVhY98jFv

[Fan Li @FanLi90]

Curious about extremely small stepped wedge cluster randomized trials (SW-CRTs)? Our latest paper, led by @TonyGuangyuTONG, explores the landscape of published SW-CRTs with <= 6 clusters. Take a look at what we found!
https://t.co/OaMouvHvRz
@ColinBBegg @SteppedWedgehog

[Rohan Khera @rohan_khera]

Excited to announce that @cards_lab is launching the DETECT-AS Study w R01 funding from @NIH/@NIHAging

Details: https://t.co/7JsdNESeQF

- Multicenter RCT of AI-enabled automated detection of aortic stenosis on ECG + POCUS
- precision prognostication w DASSi

[Fan Li @FanLi90]

Grateful to @PCORI for funding this work!

[Fan Li @FanLi90]

Excited to share that our new paper is now online! We formalized average treatment effect estimands in stepped wedge cluster randomized trials and show that linear regression can provide robust & estimand-aligned inference under informative cluster sizes
https://t.co/uxPaC80qud

[NIH Pragmatic Trials Collaboratory @Collaboratory1]

Members of our Biostatistics and Study Design Core tested the performance of various analytic models for individually randomized group treatment trials in which complex clustering arises from participants interacting with multiple intervention agents.

➡️ https://t.co/90rGtzzaMq

[Colin Begg @ColinBBegg]

Does the hazard ratio have a causal interpretation? Should Cox modeling be used in analyzing clinical trials? Read all about it in this point-counterpoint of Michael Fay and Fan Li versus Dan Heitjan. @SCTorg @YaleSPH @SouthernMethod @FanLi90

[Colin Begg @ColinBBegg]

Chao Cheng and colleagues show how to examine causal effects on the survival probability scale in the presence of treatment noncompliance in clinical trials. @FanLi90 @YaleSPH @SCTorg #clinicaltrials

[Stepped Wedgehog @SteppedWedgehog]

📢Abstract deadline extension: the deadline for abstracts to the 10th Annual Meeting on Current Developments in Cluster Randomised Trials & Stepped Wedge Designs (13-14 Nov, Birmingham UK) has been extended to 5th July. Submit as Word/PDF to [email protected].

[Fan Li @FanLi90]

@lyhuStatree We are grateful for PCORI @PCORI for funding this work!

[Fan Li @FanLi90]

If you are interested in causal inference with time-dependent treatments beyond the mean, please check out at our most recent paper on marginal structural quantile models. This work is led by my PhD student Chao Cheng, and jointly with @lyhuStatree
https://t.co/yf0cNAUtkM

[Fan Li @FanLi90]

@statsepi @Brennan_Kahan @Michael_Harhay In Brennan's articles, we provided further interpretation of this statements along with some mathematical formulation.