Hi all,
Our next virtual meeting will be Wednesday, October 14, where we will hear
Luke Miratrix (Harvard University) presents research on "A Practitioner’s
Guide to Intent-to-Treat Effects from Multisite (blocked) Individually
Randomized Trials: Estimands, Estimators, and Estimates".
*Abstract*:
There are many ways to estimate an overall average effect of a large-scale
multisite individually randomized control trial. The researcher can target
the average effect across individuals or sites. Furthermore, the researcher
can target the effect for the experimental sample or a larger population.
If treatment effects vary across sites, these estimands can differ. Once an
estimand is selected, an estimator must be chosen. Standard estimators,
such as fixed-effects regression, can be biased. We describe 15 different
estimators commonly in use, consider which estimands they are appropriate
for, and discuss their properties in the face of cross-site effect
heterogeneity. Using data from 12 large multisite RCTs, we estimate the
effect (and standard error) using each estimator and compare the results.
We assess the extent that these decisions matter in practice and provide
guidance for applied researchers.
Zoom link:
https://harvard.zoom.us/j/99424949004?pwd=aWtPNFM3ZzFYbWxIMXNoZDlyUElVZz09
Schedule of the workshop:
https://projects.iq.harvard.edu/applied.stats.workshop-gov3009
Best,
Soichiro
--
Soichiro Yamauchi
PhD candidate
Harvard University
URL:
https://soichiroy.github.io/