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pro vyhledávání: '"Robertson, Sarah A."'
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:
Dahabreh, Issa J., Robins, James M., Haneuse, Sebastien J-P. A., Robertson, Sarah E., Steingrimsson, Jon A., Hernán, Miguel A.
When individuals participating in a randomized trial differ with respect to the distribution of effect modifiers compared compared with the target population where the trial results will be used, treatment effect estimates from the trial may not dire
Externí odkaz:
http://arxiv.org/abs/2207.09982
Background: When planning a cluster randomized trial, evaluators often have access to an enumerated cohort representing the target population of clusters. Practicalities of conducting the trial, such as the need to oversample clusters with certain ch
Externí odkaz:
http://arxiv.org/abs/2204.02872
Autor:
Dahabreh, Issa J., Robertson, Sarah E., Steingrimsson, Jon A., Gravenstein, Stefan, Joyce, Nina
We describe methods that extend (generalize or transport) causal inferences from cluster randomized trials to a target population of clusters, under a general nonparametric model that allows for arbitrary within-cluster dependence. We propose doubly
Externí odkaz:
http://arxiv.org/abs/2203.14761
Autor:
Foyle, Kerrie L., Chin, Peck Y., Merkwirth, Carsten, Wilson, Jasmine, Hosking, Shanna L., Green, Ella S., Chong, Mei Y., Zhang, Bihong, Moldenhauer, Lachlan M., Ferguson, Greg D., Morris, Gerald P., Karras, James G., Care, Alison S., Robertson, Sarah A.
Publikováno v:
In The American Journal of Pathology November 2024 194(11):2128-2149
Publikováno v:
In Geoforum October 2024 155
Autor:
Sevrin, Thomas, Imoto, Hiroaki, Robertson, Sarah, Rauch, Nora, Dyn’ko, Uscinnia, Koubova, Katerina, Wynne, Kieran, Kolch, Walter, Rukhlenko, Oleksii S., Kholodenko, Boris N.
Publikováno v:
In Cell Reports 24 September 2024 43(9)
Epidemiologists and applied statisticians often believe that relative effect measures conditional on covariates, such as risk ratios and mean ratios, are ``transportable'' across populations. Here, we examine the identification of causal effects in a
Externí odkaz:
http://arxiv.org/abs/2202.11622