Výsledky vyhledávání - "McNealis, Vanessa"

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Smoothed pseudo-population bootstrap methods with applications to finite population quantiles

Autor: McNealis, Vanessa, Léger, Christian

This paper introduces smoothed pseudo-population bootstrap methods for the purposes of variance estimation and the construction of confidence intervals for finite population quantiles. In an i.i.d. context, it has been shown that resampling from a sm

Externí odkaz: http://arxiv.org/abs/2410.07996

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Plasmode simulation for the evaluation of causal inference methods in homophilous social networks

Autor: McNealis, Vanessa, Moodie, Erica E. M., Dean, Nema

Typical simulation approaches for evaluating the performance of statistical methods on populations embedded in social networks may fail to capture important features of real-world networks. It can therefore be unclear whether inference methods for ca

Externí odkaz: http://arxiv.org/abs/2409.01316

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Joint mixed-effects models for causal inference in clustered network-based observational studies

Autor: McNealis, Vanessa, Moodie, Erica E. M., Dean, Nema

Causal inference on populations embedded in social networks poses technical challenges, since the typical no interference assumption frequently does not hold. Existing methods developed in the context of network interference rely upon the assumption

Externí odkaz: http://arxiv.org/abs/2404.07411

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Revisiting the Effects of Maternal Education on Adolescents' Academic Performance: Doubly Robust Estimation in a Network-Based Observational Study

Autor: McNealis, Vanessa, Moodie, Erica E. M., Dean, Nema

In many contexts, particularly when study subjects are adolescents, peer effects can invalidate typical statistical requirements in the data. For instance, it is plausible that a student's academic performance is influenced both by their own mother's

Externí odkaz: http://arxiv.org/abs/2302.00230

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Dissertation/ Thesis

Estimateur bootstrap de la variance d'un estimateur de quantile en contexte de population finie

Autor: McNealis, Vanessa

Ce mémoire propose une adaptation lisse de méthodes bootstrap par pseudo-population aux fins d'estimation de la variance et de formation d'intervalles de confiance pour des quantiles de population finie. Dans le cas de données i.i.d., Hall et al.

Externí odkaz: http://hdl.handle.net/1866/24001

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