5 citations · 5 across the 3 of their papers we have counts for
3 papers
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa +17
Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding…
The Role of Pairwise Matching in Experimental Design for an Incidence Outcome
Adam Kapelner, Abba M. Krieger, David Azriel
We consider the problem of evaluating designs for a two-arm randomized experiment with an incidence (binary) outcome under a nonparametric general response model. Our two main resu…
Using Regression Kernels to Forecast A Failure to Appear in Court
Richard Berk, Justin Bleich, Adam Kapelner +3
Forecasts of prospective criminal behavior have long been an important feature of many criminal justice decisions. There is now substantial evidence that machine learning procedure…