activity
20142023
most citedOn the Causal Interpretation of Randomized Interventional Indirect Effects

3 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2023

Sensitivity analysis for transportability in multi-study, multi-outcome settings

Ngoc Q. Duong, Amy J. Pitts, Soohyun Kim +1

Existing work in data fusion has covered identification of causal estimands when integrating data from heterogeneous sources. These results typically require additional assumptions…

stat.ME2022

All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples

Kara E. Rudolph, Nicholas Williams, Caleb H. Miles +2

There is a long-standing debate in the statistical, epidemiological and econometric fields as to whether nonparametric estimation that uses data-adaptive methods, like machine lear…

stat.ME2022★ 3 cited

On the Causal Interpretation of Randomized Interventional Indirect Effects

Caleb H. Miles

Identification of standard mediated effects such as the natural indirect effect relies on heavy causal assumptions. By circumventing such assumptions, so-called randomized interven…

math.ST2021

Optimal tests of the composite null hypothesis arising in mediation analysis

Caleb H. Miles, Antoine Chambaz

The indirect effect of an exposure on an outcome through an intermediate variable can be identified by a product of two regression coefficients under certain causal and regression…

stat.ME2017

Causal Inference When Counterfactuals Depend on the Proportion of All Subjects Exposed

Caleb H. Miles, Maya Petersen, Mark J. van der Laan

The assumption that no subject's exposure affects another subject's outcome, known as the no-interference assumption, has long held a foundational position in the study of causal i…

stat.ME2016

A Class of Semiparametric Tests of Treatment Effect Robust to Confounder Classical Measurement Error

Caleb H. Miles, Joel Schwartz, Eric J. Tchetgen Tchetgen

When assessing the presence of an exposure causal effect on a given outcome, it is well known that classical measurement error of the exposure can reduce the power of a test of the…

stat.ME2015★ 2 cited

On Partial Identification of the Pure Direct Effect

Caleb H. Miles, Phyllis Kanki, Seema Meloni +1

In causal mediation analysis, nonparametric identification of the pure (natural) direct effect typically relies on, in addition to no unobserved pre-exposure confounding, fundament…

stat.AP2014

Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program

Caleb Miles, Ilya Shpitser, Phyllis Kanki +2

Since the early 2000s, evidence has accumulated for a significant differential effect of first-line antiretroviral therapy (ART) regimens on human immunodeficiency virus (HIV) vira…