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Alain Mallet
Researcher at French Institute of Health and Medical Research
Publications - 58
Citations - 4223
Alain Mallet is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Population & Randomized controlled trial. The author has an hindex of 28, co-authored 58 publications receiving 4028 citations. Previous affiliations of Alain Mallet include Pierre-and-Marie-Curie University.
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Journal ArticleDOI
Heart rate and cardiac rhythm relationships with bisoprolol benefit in chronic heart failure in CIBIS II Trial.
Philippe Lechat,Jean-Sébastien Hulot,Sylvie Escolano,Alain Mallet,Alain Leizorovicz,Marie Werhlen-Grandjean,Gilbert Pochmalicki,Henry J. Dargie +7 more
TL;DR: B HR and HRC are significantly related to prognosis in heart failure and bisoprolol-induced benefit over placebo for survival was observed to a similar extent at any level of both BHR and HRC.
Journal ArticleDOI
Stimulation of the subthalamic nucleus in Parkinson’s disease: a 5 year follow up
W. M. M. Schüpbach,N. Chastan,Marie-Laure Welter,Jean-Luc Houeto,Valérie Mesnage,A. M. Bonnet,Virginie Czernecki,David Maltête,Andreas Hartmann,Luc Mallet,Bernard Pidoux,Didier Dormont,Soledad Navarro,Philippe Cornu,Alain Mallet,Yves Agid +15 more
TL;DR: Despite moderate motor and cognitive decline, probably due to disease progression, the marked improvement in motor function observed postoperatively was sustained 5 years after neurosurgery.
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A new algorithm for haplotype‐based association analysis: the Stochastic‐EM algorithm
TL;DR: A stochastic version of the EM algorithm, referred to as SEM, could be used for testing haplotype‐phenotype association and provided results similar to those of the NR algorithm, making the SEM algorithm of great interest for haplotypes‐based association analysis, especially when the number of polymorphisms is quite large.
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Alternative Approaches to Estimation of Population Pharmacokinetic Parameters: Comparison with the Nonlinear Mixed-Effect Model
TL;DR: Comparing considerations as well as results of simulations suggest that GTS, ITS, and, in future, NLF may be valuable alternatives to NONMEM or modifications of it for estimation of population characteristics of pharmacokinetic parameters.
Journal ArticleDOI
Optimal design in random-effects regression models
Alain Mallet,Doha Baccar +1 more
TL;DR: In this article, an approach is proposed to optimal design of experiments for estimating randomeffects regression models, where the population designs are defined by the number of subjects and the individual designs to be performed.