RT @ColinBBegg: Bothered by the proliferation of stepped-wedge clinical trials with very few clusters? Guanyu Tong and colleagues study thi…

RT @YaleSPH: Big data is transforming public health and society like never before. This summer, we are launching the Big Data Summer Imme…

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.

RT @xcyale: @HuoShutong @Jiao_Jo_Yu @geronsociety @YaleSPH @Yale_OAIC @rolandjthorpe @Zhuoer_Lin @ZyLiuYale @BeccaLevyPhD @XYinOSU . @Yutin…

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.

RT @YaleNephrology: @Nephronette presented her RCT of Early, Individualized Recommendations for Hospitalized Patients With AKI on the big s…

RT @IMPACTCollab1: New article by @TonyGuangyuTONG and others reviews key practices in designing and analyzing these small-scale #Clinical…

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.

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! @ColinBBegg @SteppedWedgehog

RT @rohan_khera: Excited to announce that @cards_lab is launching the DETECT-AS Study w R01 funding from @NIH/@NIHAging Details: https://t…

Grateful to @PCORI for funding this work!

RT @Collaboratory1: Members of our Biostatistics and Study Design Core tested the performance of various analytic models for individually r…

RT @ColinBBegg: Does the hazard ratio have a causal interpretation? Should Cox modeling be used in analyzing clinical trials? Read all abou…

RT @ColinBBegg: Chao Cheng and colleagues show how to examine causal effects on the survival probability scale in the presence of treatment…

RT @SteppedWedgehog: 📢Abstract deadline extension: the deadline for abstracts to the 10th Annual Meeting on Current Developments in Cluster…

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

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

@statsepi @Brennan_Kahan @Michael_Harhay From Donner and Klar (2000) "The target of inference in such studies (CRTs) could be at either the individual level or community level … These examples show the importance of investigators explicitly formulating and stating the hypothesis under test in CRTs".