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ORCIDHélène Jacqmin-Gadda
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2010 – 2019
- 2019
[j7]Soufiane Ajana, Niyazi Acar, Lionel Bretillon
, Boris P. Hejblum, Hélène Jacqmin-Gadda, Cécile Delcourt:
Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size. Bioinform. 35(19): 3628-3634 (2019)
2000 – 2009
- 2009
- [j6]Cécile Proust-Lima, Pierre Joly, Jean-François Dartigues, Hélène Jacqmin-Gadda:
Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach. Comput. Stat. Data Anal. 53(4): 1142-1154 (2009) - 2007
- [j5]Rodolphe Thiébaut, Hélène Jacqmin-Gadda:
Corrigendum to "Mixed models for longitudinal left-censored repeated measures" [Computer Methods and Programs in Biomedicine 74 (2004) 255-260]. Comput. Methods Programs Biomed. 87(1): 78-79 (2007) - [j4]Hélène Jacqmin-Gadda, Solenne Sibillot, Cécile Proust, Jean-Michel Molina, Rodolphe Thiébaut:
Robustness of the linear mixed model to misspecified error distribution. Comput. Stat. Data Anal. 51(10): 5142-5154 (2007) - 2005
- [j3]Cécile Proust, Hélène Jacqmin-Gadda:
Estimation of linear mixed models with a mixture of distribution for the random effects. Comput. Methods Programs Biomed. 78(2): 165-173 (2005) - 2004
- [j2]Rodolphe Thiébaut, Hélène Jacqmin-Gadda:
Mixed models for longitudinal left-censored repeated measures. Comput. Methods Programs Biomed. 74(3): 255-260 (2004) - 2002
- [j1]Rodolphe Thiébaut, Hélène Jacqmin-Gadda, Geneviève Chêne, Catherine Leport, Daniel Commenges:
Bivariate linear mixed models using SAS proc MIXED. Comput. Methods Programs Biomed. 69(3): 249-256 (2002)
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