Small-magnitude effect sizes in epigenetic end points are important in children's environmental health studies: the children's environmental health and disease …

CV Breton, CJ Marsit, E Faustman… - Environmental …, 2017 - ehp.niehs.nih.gov
Background: Characterization of the epigenome is a primary interest for children's
environmental health researchers studying the environmental influences on human …

A precision treatment model for internet-delivered cognitive behavioral therapy for anxiety and depression among university students: a secondary analysis of a …

C Benjet, NH Zainal, Y Albor, L Alvis-Barranco… - JAMA …, 2023 - jamanetwork.com
Importance Guided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way
to address high unmet need for anxiety and depression treatment. Scalability could be …

Evaluation of viable dynamic treatment regimes in a sequentially randomized trial of advanced prostate cancer

L Wang, A Rotnitzky, X Lin, RE Millikan… - Journal of the American …, 2012 - Taylor & Francis
We present new statistical analyses of data arising from a clinical trial designed to compare
two-stage dynamic treatment regimes (DTRs) for advanced prostate cancer. The trial …

Double robust efficient estimators of longitudinal treatment effects: comparative performance in simulations and a case study

L Tran, C Yiannoutsos, K Wools-Kaloustian… - … international journal of …, 2019 - degruyter.com
A number of sophisticated estimators of longitudinal effects have been proposed for
estimating the intervention-specific mean outcome. However, there is a relative paucity of …

More efficient off-policy evaluation through regularized targeted learning

A Bibaut, I Malenica, N Vlassis… - … on Machine Learning, 2019 - proceedings.mlr.press
We study the problem of off-policy evaluation (OPE) in Reinforcement Learning (RL), where
the aim is to estimate the performance of a new policy given historical data that may have …

Multiply robust estimators of causal effects for survival outcomes

L Wen, MA Hernán, JM Robins - Scandinavian Journal of …, 2022 - Wiley Online Library
Multiply robust estimators of the longitudinal g‐formula have recently been proposed to
protect against model misspecification better than the standard augmented inverse …

History-restricted marginal structural model and latent class growth analysis of treatment trajectories for a time-dependent outcome

A Diop, C Sirois, JR Guertin, ME Schnitzer… - … International Journal of …, 2024 - degruyter.com
In previous work, we introduced a framework that combines latent class growth analysis
(LCGA) with marginal structural models (LCGA-MSM). LCGA-MSM first summarizes the …

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation

SG Dashti, KJ Lee, JA Simpson, IR White… - American Journal of …, 2024 - academic.oup.com
Targeted maximum likelihood estimation (TMLE) is increasingly used for doubly robust
causal inference, but how missing data should be handled when using TMLE with data …

Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap

L Tran, CT Yiannoutsos, BS Musick… - Epidemiologic …, 2016 - degruyter.com
In conducting studies on an exposure of interest, a systematic roadmap should be applied
for translating causal questions into statistical analyses and interpreting the results. In this …

Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation

ME Schnitzer, EEM Moodie, MJ van der Laan… - …, 2014 - academic.oup.com
Despite modern effective HIV treatment, hepatitis C virus (HCV) co-infection is associated
with a high risk of progression to end-stage liver disease (ESLD) which has emerged as the …