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pro vyhledávání: '"Dahabreh, P."'
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
When extending inferences from a randomized trial to a new target population, the transportability condition for conditional difference effect measures is invoked to identify the marginal causal mean difference in the target population. However, many
Externí odkaz:
http://arxiv.org/abs/2402.02702
Investigators often use multi-source data (e.g., multi-center trials, meta-analyses of randomized trials, pooled analyses of observational cohorts) to learn about the effects of interventions in subgroups of some well-defined target population. Such
Externí odkaz:
http://arxiv.org/abs/2402.02684
Autor:
Al-Dahabreh, Nassr, Sayed, Mohammad Ali, Sarieddine, Khaled, Elhattab, Mohamed, Khabbaz, Maurice, Atallah, Ribal, Assi, Chadi
This work presents an investigation and assessment framework, which, supported by realistic data, aims at provisioning operators with in-depth insights into the consumer-perceived Quality-of-Experience (QoE) at public Electric Vehicle (EV) charging i
Externí odkaz:
http://arxiv.org/abs/2312.05333
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 the prediction question is explicitly counterfactual. However, estimatin
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