Such a rewarding project with @gabeloewinger.bsky.social and the team! Participant blinding is a SUPER old idea: as late as 1784!! Yet (un)blinding seems (to me) still poorly understood, e.g., compared to confounding, selection bias. I hope our work clarifies some issues, esp. in mental health RCTs

Gabe Loewinger@gabeloewinger.bsky.social · 8mo ago

Our team of statisticians and psychedelic researchers (@awlevis.bsky.social, Mats Stensrud + Sandeep Nayak & David Yaden of @jhpsychedelics.bsky.social) developed a causal inference framework for functional unmasking in psychedelic RCTs. See our pre-print + analysis guide/code: tinyurl.com/yhwez25p

New-ish paper alert! arxiv.org/abs/2410.13522   We tackle the challenge of comparing multiple treatments when some subjects have zero prob. of receiving certain treatments. Eg, provider profiling: comparing hospitals (the “treatments”) for patient outcomes. Positivity violations are everywhere.

Fair comparisons of causal parameters with many treatments and positivity violations

Comparing outcomes across treatments is essential in medicine and public policy. To do so, researchers typically estimate a set of parameters, possibly counterfactual, with each targeting a different ...

arxiv.org