Zobrazeno 1 - 10
of 718
pro vyhledávání: '"Etievant A"'
Autor:
Etievant, Lola, Gail, Mitchell H.
The case-cohort design allows analysis of multiple endpoints and only requires covariates to be measured for cases and non-cases in a random subcohort from the cohort. Stratification of subcohort sampling and weight calibration increase efficiency of
Externí odkaz:
http://arxiv.org/abs/2402.08744
Autor:
Etievant, Lola, Gail, Mitchell H.
The case-cohort design obtains complete covariate data only on cases and on a random sample (the subcohort) of the entire cohort. Subsequent publications described the use of stratification and weight calibration to increase efficiency of estimates o
Externí odkaz:
http://arxiv.org/abs/2304.03396
Studies of vaccine efficacy often record both the incidence of vaccine-targeted virus strains (primary outcome) and the incidence of non-targeted strains (secondary outcome). However, standard estimates of vaccine efficacy on targeted strains ignore
Externí odkaz:
http://arxiv.org/abs/2212.14357
The adaptive lasso refers to a class of methods that use weighted versions of the $L_1$-norm penalty, with weights derived from an initial estimate of the parameter vector to be estimated. Irrespective of the method chosen to compute this initial est
Externí odkaz:
http://arxiv.org/abs/2005.10119
Autor:
Etievant, Lola, Viallon, Vivian
Publikováno v:
Statistica Neerlandica, 76(3), 331-346
Partial Least Squares (PLS) refer to a class of dimension-reduction techniques aiming at the identification of two sets of components with maximal covariance, to model the relationship between two sets of observed variables $x\in\mathbb{R}^p$ and $y\
Externí odkaz:
http://arxiv.org/abs/2005.09498
Autor:
Etievant, Lola, Viallon, Vivian
For exposures $X$ like obesity, no precise and unambiguous definition exists for the hypothetical intervention $do(X = x_0)$. This has raised concerns about the relevance of causal effects estimated from observational studies for such exposures. Unde
Externí odkaz:
http://arxiv.org/abs/1901.00772
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Etievant, Lola, Viallon, Vivian
Many causal models of interest in epidemiology involve longitudinal exposures, confounders and mediators. However, repeated measurements are not always available or used in practice, leading analysts to overlook the time-varying nature of exposures a
Externí odkaz:
http://arxiv.org/abs/1810.01294
Publikováno v:
In Mechatronics June 2022 84
