Lola Etievant | DeepAI

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Featured Co-authors

Vivian Viallon
5 publications
Mitchell H. Gail
3 publications
Joshua N. Sampson
1 publication

∙ 04/06/2023

Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data

The case-cohort design obtains complete covariate data only on cases and...

0 Lola Etievant, et al. ∙

∙ 12/29/2022

Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using non-targeted HPV strains

Studies of vaccine efficacy often record both the incidence of vaccine-t...

0 Lola Etievant, et al. ∙

∙ 05/19/2020

On some limitations of probabilistic models for dimension-reduction: illustration in the case of one particular probabilistic formulation of PLS

Partial Least Squares (PLS) refer to a class of dimension-reduction tech...

0 Lola Etievant, et al. ∙

∙ 01/03/2019

Which practical interventions does the do-operator refer to in causal inference? Illustration on the example of obesity and cancer

For exposures X like obesity, no precise and unambiguous definition exis...

0 Lola Etievant, et al. ∙

∙ 10/02/2018

Causal inference under over-simplified longitudinal causal models

Most causal models of interest involve longitudinal exposures, confounde...

0 Lola Etievant, et al. ∙

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