2 citations · 5 across the 12 of their papers we have counts for
12 papers
Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
Helene C. W. Rytgaard, Edwin Fong, Jens M. Tarp +3
In placebo-controlled randomized trials, the post-randomization use of concomitant medications may be higher in the placebo arm than in the treatment arm. This may dilute the full…
Causal inference for calibrated scaling interventions on time-to-event processes
Helene Charlotte Wiese Rytgaard, Mark van der Laan
This work develops a flexible inferential framework for nonparametric causal inference in time-to-event settings, based on stochastic interventions defined through multiplicative s…
Proximal indirect comparison
Zehao Su, Helene C. W. Rytgaard, Henrik Ravn +1
We consider the problem of indirect comparison, where a treatment arm of interest is absent by design in one randomized controlled trial but available in the other. The former is t…
Efficient estimation of the target population average treatment effect from multi-source data
Zehao Su, Helene Charlotte Rytgaard, Henrik Ravn +1
We consider estimation of the target population average treatment effect (TATE) when outcome information is unavailable. Instead, we observe the outcome in multiple source populati…
Estimating conditional hazard functions and densities with the highly-adaptive lasso
Anders Munch, Thomas A. Gerds, Mark J. van der Laan +1
We consider estimation of conditional hazard functions and densities over the class of multivariate càdlàg functions with uniformly bounded sectional variation norm when data are e…
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
Helene C. W. Rytgaard, Mark J. van der Laan
Longitudinal settings involving outcome, competing risks and censoring events occurring and recurring in continuous time are common in medical research, but are often analyzed with…
concrete: Targeted Estimation of Survival and Competing Risks in Continuous Time
David Chen, Helene C. W. Rytgaard, Edwin C. H. Fong +4
This article introduces the R package concrete, which implements a recently developed targeted maximum likelihood estimator (TMLE) for the cause-specific absolute risks of time-to-…
Nonparametric estimation of the interventional disparity indirect effect among the exposed
Helene C. W. Rytgaard, Amalie Lykkemark Møller, Thomas A. Gerds
In situations with non-manipulable exposures, interventions can be targeted to shift the distribution of intermediate variables between exposure groups to define interventional dis…
One-step TMLE for targeting cause-specific absolute risks and survival curves
Helene C. W. Rytgaard, Mark J. van der Laan
This paper considers one-step targeted maximum likelihood estimation method for general competing risks and survival analysis settings where event times take place on the positive…
Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation
Helene Charlotte Wiese Rytgaard, Frank Eriksson, Mark van der Laan
Targeted maximum likelihood estimation is a general methodology combining flexible ensemble learning and semiparametric efficiency theory in a two-step procedure for estimation of…
Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes
Helene C. Rytgaard, Thomas A. Gerds, Mark J. van der Laan
This paper studies the generalization of the targeted minimum loss-based estimation (TMLE) framework to estimation of effects of time-varying interventions in settings where both i…
Ranking of average treatment effects with generalized random forests for time-to-event outcomes
Helene C. W. Rytgaard, Claus T. Ekstrøm, Lars V. Kessing +1
In this paper we present a data-adaptive estimation procedure for estimation of average treatment effects in a time-to-event setting based on generalized random forests. In these k…