** New paper from the Sentinel Innovation Center **

Wyss et al. show that targeted learning can effectively tackle covariate non-overlap when fitting large scale PS models in sparse high-dimensional settings

academic.oup.com/aje/advance-ar…

Shirley Wang Darren Toh Mark van der Laan

“Data-driven approaches have the potential to improve efficiency in the identification of the most important drivers of [heterogeneity of treatment effect] from RCTs.” Full article by Rishi J Desai et al.: eviden.cc/4cupGhU

Muthu Vaduganathan

Come work with us on data analyses of pragmatic trials and other related research!

Machine learning approaches for individualized treatment effect prediction have gained traction. 1/2

Missing confounder data are ubiquitous in studies relying on EHRs, yet routine diagnostics to check assumptions about downstream analytic choices are seldom implemented

We built an R package to help out- smdi

academic.oup.com/jamiaopen/arti…

Give it a spin. Let us know what you think!

'Asking the right question in the right manner constitutes the first step . . .'

A five step process guide for inferential studies using healthcare data from routine clinical practice to evaluate causal effects of drugs
Rishi J Desai bmj.com/content/384/bm…

Thinking of doing a PhD in dermatology, epidemiology, or genetics? We have a proposal to cover training for all three topics!

Funded by British Skin Foundation with me, Steven Zhao, John Bowes and Darren Ashcroft using data from CPRD and UK Biobank

#RxEpi #eczema

findaphd.com/phds/project/d…

The FDA-approval for gene-editing therapies for SCD is a historic moment. Truly curative potential if the early clinical response is sustained long-term.
We use #RWE to offer some context for the efficacy of gene-therapies in SCD.
#ASH2023 poster # 3674.

ashpublications.org/blood/article/…