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05/11/2023
Causal Inference for Continuous Multiple Time Point Interventions
There are limited options to estimate the treatment effects of variables...
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04/19/2023
Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures
This tutorial discusses a recently developed methodology for causal infe...
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03/31/2023
Efficiently transporting average treatment effects using a sufficient subset of effect modifiers
We develop flexible and nonparametric estimators of the average treatmen...
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03/01/2023
An end-to-end SE(3)-equivariant segmentation network
Convolutional neural networks (CNNs) allow for parameter sharing and tra...
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12/15/2022
Nonparametric estimators of interventional (transported) direct and indirect effects that accommodate multiple mediators and multiple intermediate confounders
Mediation analysis is appealing for its ability to improve understanding...
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11/18/2022
All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples
There is a long-standing debate in the statistical, epidemiological and ...
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08/10/2022
Heterogeneity assessment in causal data fusion problems
Previous works have formalized the conditions under which findings from ...
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05/16/2022
Causal influence, causal effects, and path analysis in the presence of intermediate confounding
Recent approaches to causal inference have focused on the identification...
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05/11/2022
Efficient estimation of modified treatment policy effects based on the generalized propensity score
Continuous treatments have posed a significant challenge for causal infe...
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05/09/2022
Efficient and flexible estimation of natural mediation effects under intermediate confounding and monotonicity constraints
Natural direct and indirect effects are mediational estimands that decom...
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03/28/2022
Efficient and flexible causal mediation with time-varying mediators, treatments, and confounders
Interventional effects have been proposed as a solution to the unidentif...
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02/07/2022
Causal survival analysis under competing risks using longitudinal modified treatment policies
Longitudinal modified treatment policies (LMTP) have been recently devel...
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12/27/2021
Causal mediation with instrumental variables
Mediation analysis is a strategy for understanding the mechanisms by whi...
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09/09/2021
Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19
The rapid finding of effective therapeutics requires the efficient use o...
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05/06/2021
When effects cannot be estimated: redefining estimands to understand the effects of naloxone access laws
Background: All states in the US have enacted at least some naloxone acc...
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03/03/2021
Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection
Combating the SARS-CoV2 pandemic will require the fast development of ef...
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01/21/2021
When the ends don't justify the means: Learning a treatment strategy to prevent harmful indirect effects
There is a growing literature on finding so-called optimal treatment rul...
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09/14/2020
Nonparametric causal mediation analysis for stochastic interventional (in)direct effects
Causal mediation analysis has historically been limited in two important...
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06/13/2020
Efficiently transporting causal (in)direct effects to new populations under intermediate confounding and with multiple mediators
The same intervention can produce different effects in different sites. ...
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06/02/2020
Non-parametric causal effects based on longitudinal modified treatment policies
Most causal inference methods consider counterfactual variables under in...
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12/20/2019
Non-parametric efficient causal mediation with intermediate confounders
Interventional effects for mediation analysis were proposed as a solutio...
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11/22/2019
Non-parametric targeted Bayesian estimation of class proportions in unlabeled data
We introduce a novel Bayesian estimator for the class proportion in an u...
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01/09/2019
Causal mediation analysis for stochastic interventions
Mediation analysis in causal inference has traditionally focused on bina...
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07/24/2018
Collaborative double robustness using the e-score
Estimation of causal parameters from observational data requires complet...
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09/01/2017