Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Rytgaard, Helene C. W."'
When the marginal causal effect comparing the same treatment pair is available from multiple trials, we wish to transport all results to make inference on the target population effect. To account for the differences between populations, statistical a
Externí odkaz:
http://arxiv.org/abs/2405.10769
We consider the problem of indirect comparison, where a treatment arm of interest is absent by design in the target randomized control trial (RCT) but available in a source RCT. The identifiability of the target population average treatment effect of
Externí odkaz:
http://arxiv.org/abs/2405.10773
We consider estimation of conditional hazard functions and densities over the class of multivariate c\`adl\`ag functions with uniformly bounded sectional variation norm when data are either fully observed or subject to right-censoring. We demonstrate
Externí odkaz:
http://arxiv.org/abs/2404.11083
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 methods that do not allow for taking post-baseline information into a
Externí odkaz:
http://arxiv.org/abs/2404.01736
Autor:
Chen, David, Rytgaard, Helene C. W., Fong, Edwin C. H., Tarp, Jens M., Petersen, Maya L., van der Laan, Mark J., Gerds, Thomas A.
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-event outcomes measured in continuous time. Cross-validated Super Lear
Externí odkaz:
http://arxiv.org/abs/2310.19197
In situations with non-manipulable exposures, interventions can be targeted to shift the distribution of intermediate variables between exposure groups to define interventional disparity indirect effects. In this work, we present a theoretical study
Externí odkaz:
http://arxiv.org/abs/2305.10095
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 real line R+ and are subject to right-censoring. Our interest is overa
Externí odkaz:
http://arxiv.org/abs/2107.01537
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 kinds of settings, the definition of causal effect parameters are compl
Externí odkaz:
http://arxiv.org/abs/2104.13028
Autor:
Rytgaard, Helene C. W.1 (AUTHOR) hely@sund.ku.dk, van der Laan, Mark J.2 (AUTHOR)
Publikováno v:
Lifetime Data Analysis. Jan2024, Vol. 30 Issue 1, p4-33. 30p.
Publikováno v:
Biometrics; Dec2023, Vol. 79 Issue 4, p3038-3049, 12p