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pro vyhledávání: '"Dahabreh, Issa J"'
Conventional meta analysis of model performance conducted using datasources from different underlying populations often result in estimates that cannot be interpreted in the context of a well defined target population. In this manuscript we develop m
Externí odkaz:
http://arxiv.org/abs/2409.13458
In randomized trials, the per-protocol effect, that is, the effect of being assigned a treatment strategy and receiving treatment according to the assigned strategy, is sometimes thought to reflect the effect of the treatment strategy itself, without
Externí odkaz:
http://arxiv.org/abs/2408.14710
Trial engagement effects are effects of trial participation on the outcome that are not mediated by treatment assignment. Most work on extending (generalizing or transporting) causal inferences from a randomized trial to a target population has, expl
Externí odkaz:
http://arxiv.org/abs/2407.14703
One approach for increasing the efficiency of randomized trials is the use of "external controls" -- individuals who received the control treatment in the trial during routine practice or in prior experimental studies. Existing external control metho
Externí odkaz:
http://arxiv.org/abs/2406.17971
There is increasing interest in combining information from experimental studies, including randomized and single-group trials, with information from external experimental or observational data sources. Such efforts are usually motivated by the desire
Externí odkaz:
http://arxiv.org/abs/2406.03302
Counterfactual prediction methods are required when a model will be deployed in a setting where treatment policies differ from the setting where the model was developed, or when a model provides predictions under hypothetical interventions to support
Externí odkaz:
http://arxiv.org/abs/2308.13026
We consider the estimation of measures of model performance in a target population when covariate and outcome data are available on a sample from some source population and covariate data, but not outcome data, are available on a simple random sample
Externí odkaz:
http://arxiv.org/abs/2306.08084
Autor:
Robertson, Sarah E., Rysavy, Matthew A., Blakely, Martin L., Steingrimsson, Jon A., Dahabreh, Issa J.
We discuss generalizability analyses under a partially nested trial design, where part of the trial is nested within a cohort of trial-eligible individuals, while the rest of the trial is not nested. This design arises, for example, when only some ce
Externí odkaz:
http://arxiv.org/abs/2306.00855
We discuss the identifiability of causal estimands for generalizability and transportability analyses, both under perfect and imperfect adherence to treatment assignment. We consider a setting where the trial data contain information on baseline cova
Externí odkaz:
http://arxiv.org/abs/2211.04876
Autor:
Morrison, Samantha, Gatsonis, Constantine, Dahabreh, Issa J., Li, Bing, Steingrimsson, Jon A.
We present methods for estimating loss-based measures of the performance of a prediction model in a target population that differs from the source population in which the model was developed, in settings where outcome and covariate data are available
Externí odkaz:
http://arxiv.org/abs/2210.01980