11 citations · 16 across the 5 of their papers we have counts for
6 papers
Tutorial: Deriving The Efficient Influence Curve for Large Models
Jonathan Levy
This paper aims to provide a tutorial for upper level undergraduate and graduate students in statistics, biostatistics and epidemiology on deriving influence functions for non-para…
Transporting stochastic direct and indirect effects to new populations
Kara E Rudolph, Jonathan Levy, Mark J van der Laan
Transported mediation effects may contribute to understanding how and why interventions may work differently when applied to new populations. However, we are not aware of any estim…
Kernel Smoothing of the Treatment Effect CDF
Jonathan Levy, Mark van der Laan
The strata-specific treatment effect or so-called blip for a randomly drawn strata of confounders defines a random variable and a corresponding cumulative distribution function. Ho…
A Fundamental Measure of Treatment Effect Heterogeneity
Jonathan Levy, Mark van der Laan, Alan Hubbard +1
We offer a non-parametric plug-in estimator for an important measure of treatment effect variability and provide minimum conditions under which the estimator is asymptotically effi…
An Easy Implementation of CV-TMLE
Jonathan Levy
In the world of targeted learning, cross-validated targeted maximum likelihood estimators, CV-TMLE [Zheng:2010aa], has a distinct advantage over TMLE [Laan:2006aa] in that one less…
Canonical Least Favorable Submodels:A New TMLE Procedure for Multidimensional Parameters
Jonathan Levy
This paper is a fundamental addition to the world of targeted maximum likelihood estimation (TMLE) (or likewise, targeted minimum loss estimation) for simultaneous estimation of mu…