2 citations · 5 across the 12 of their papers we have counts for
4 papers · 1 filter
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…