Hélène Jacqmin-Gadda - researchr alias

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Viewing Publication 1 - 7 from 7

2019

Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample sizeSoufiane Ajana, Niyazi Acar, Lionel Bretillon, Boris P. Hejblum, Hélène Jacqmin-Gadda, Cécile Delcourt. bioinformatics, 35(19):3628-3634, 2019. [doi]

2009

Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approachCécile Proust-Lima, Pierre Joly, Jean-François Dartigues, Hélène Jacqmin-Gadda. csda, 53(4):1142-1154, 2009. [doi]

2007

Robustness of the linear mixed model to misspecified error distributionHélène Jacqmin-Gadda, Solenne Sibillot, Cécile Proust, Jean-Michel Molina, Rodolphe Thiébaut. csda, 51(10):5142-5154, 2007. [doi]

Corrigendum to Mixed models for longitudinal left-censored repeated measures [Computer Methods and Programs in Biomedicine 74 (2004) 255-260]Rodolphe Thiébaut, Hélène Jacqmin-Gadda. cmpb, 87(1):78-79, 2007. [doi]

2005

Estimation of linear mixed models with a mixture of distribution for the random effectsCécile Proust, Hélène Jacqmin-Gadda. cmpb, 78(2):165-173, 2005. [doi]

2004

Mixed models for longitudinal left-censored repeated measuresRodolphe Thiébaut, Hélène Jacqmin-Gadda. cmpb, 74(3):255-260, 2004. [doi]

2002

Bivariate linear mixed models using SAS proc MIXEDRodolphe Thiébaut, Hélène Jacqmin-Gadda, Geneviève Chêne, Catherine Leport, Daniel Commenges. cmpb, 69(3):249-256, 2002. [doi]

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