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09/11/2023
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation
There are now many options for doubly robust estimation; however, there ...
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08/10/2023
Optimally weighted average derivative effects
Inference for weighted average derivative effects (WADEs) usually relies...
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03/22/2023
On a General Class of Orthogonal Learners for the Estimation of Heterogeneous Treatment Effects
Motivated by applications in personalized medicine and individualized po...
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03/10/2023
Adjusting for time-varying treatment switches in randomized clinical trials: the danger of extrapolation and how to avoid it
When choosing estimands and estimators in randomized clinical trials, ca...
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10/24/2022
Rejoinder to discussions on "Instrumental variable estimation of the causal hazard ratio"
We respond to comments on our paper, titled "Instrumental variable estim...
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09/21/2022
Structural mean models for instrumented difference-in-differences
In the standard difference-in-differences research design, the parallel ...
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04/12/2022
Variable importance measures for heterogeneous causal effects
The conditional average treatment effect (CATE) of a binary exposure on ...
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11/30/2021
Ensuring valid inference for hazard ratios after variable selection
The problem of how to best select variables for confounding adjustment f...
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10/07/2021
Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models
Longitudinal observational patient data can be used to investigate the c...
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09/27/2021
Parameterising the effect of a continuous exposure using average derivative effects
The (weighted) average treatment effect is commonly used to quantify the...
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09/01/2021
On Estimation and Cross-validation of Dynamic Treatment Regimes with Competing Risks
The optimal moment to start renal replacement therapy in a patient with ...
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07/13/2021
On doubly robust inference for double machine learning
Due to concerns about parametric model misspecification, there is intere...
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07/01/2021
Demystifying statistical learning based on efficient influence functions
Evaluation of treatment effects and more general estimands is typically ...
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03/22/2021
Challenges in systematic reviews and meta-analyses of mediation analyses
Systematic reviews and meta-analyses of mediation studies are increasing...
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02/03/2021
Sensitivity Analysis for Unmeasured Confounding via Effect Extrapolation
Inferring the causal effect of a non-randomly assigned exposure on an ou...
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11/09/2020
Handling time-dependent exposures and confounders when estimating attributable fractions – bridging the gap between multistate and counterfactual modeling
The population-attributable fraction (PAF) expresses the percentage of e...
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09/25/2020
A novel estimand to adjust for rescue treatment in clinical trials
The interpretation of randomised clinical trial results is often complic...
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09/04/2020
Efficient, Doubly Robust Estimation of the Effect of Dose Switching for Switchers in a Randomised Clinical Trial
Motivated by a clinical trial conducted by Janssen Pharmaceuticals in wh...
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07/16/2020
Principled Selection of Baseline Covariates to Account for Censoring in Randomized Trials with a Survival Endpoint
The analysis of randomized trials with time-to-event endpoints is nearly...
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07/07/2020
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks
This proposal is motivated by an analysis of the English Longitudinal St...
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07/01/2020
Robust Inference for Mediated Effects in Partially Linear Models
We consider mediated effects of an exposure, X on an outcome, Y, via a s...
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06/29/2020
A statistical test to reject the structural interpretation of a latent factor model
Factor analysis is often used to assess whether a single univariate late...
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06/15/2020
Assumption-lean inference for generalised linear model parameters
Inference for the parameters indexing generalised linear models is routi...
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02/10/2020
Simulating longitudinal data from marginal structural models using the additive hazard model
Observational longitudinal data on treatments and covariates are increas...
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01/24/2020
Confounder selection strategies targeting stable treatment effect estimators
Propensity score methods are widely adopted in observational studies to ...
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01/20/2020
Non-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown
With multiple potential mediators on the causal pathway from a treatment...
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12/03/2019
Longitudinal Mediation Analysis Using Natural Effect Models
Mediation analysis is concerned with the decomposition of the total effe...
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08/28/2019
Rethinking meta-analysis: assessing case-mix heterogeneity when combining treatment effects across patient populations
Case-mix heterogeneity across studies complicates meta-analyses. As a re...
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07/19/2019
Interventional Effect Models for Multiple Mediators
In settings that involve multiple mediators, approaches focusing on fine...
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04/09/2019
Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
Conditional power calculations are frequently used to guide the decision...
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03/25/2019
Uniformly valid confidence intervals for conditional treatment effects in misspecified high-dimensional models
Eliminating the effect of confounding in observational studies typically...
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10/22/2018
Subtleties in the interpretation of hazard ratios
The hazard ratio is one of the most commonly reported measures of treatm...
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07/14/2018
Learning Causal Hazard Ratio with Endogeneity
Cox's proportional hazards model is one of the most popular statistical ...
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05/17/2018
High-dimensional doubly robust tests for regression parameters
After variable selection, standard inferential procedures for regression...
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01/18/2018
Graphical models for mediation analysis
Mediation analysis seeks to infer how much of the effect of an exposure ...
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12/30/2017