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Daniel Commenges

Daniel Commenges

Overview

Daniel Commenges is affiliated with the University of Bordeaux in France. Their research primarily spans the fields of Mathematics and Engineering, with a particular focus on subfields such as Statistics and Probability as well as Control and Systems Engineering.

The scientist's work covers key topics including Control Systems and Identification, Statistical Methods and Inference, and Advanced Statistical Methods and Models. These areas reflect a multidisciplinary approach integrating mathematical techniques, statistical analysis, and engineering principles.

Among their recent publications is the paper titled Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg, published in 2021 in The R Journal.

  • Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg (2021, The R Journal)

Commenges has collaborated with several co-authors throughout their career, including:

  • Viviane Philipps
  • Boris P. Hejblum
  • Mélanie Prague
  • Cécile Proust-Lima

Their frequent publication venues reflect the focus of their work, most notably appearing in The R Journal.

  • The R Journal

Best Publications

  • A penalized likelihood approach for arbitrarily censored and truncated data: application to age-specific incidence of dementia.

    Pierre Joly;Daniel Commenges;Luc Letenneur

  • Multi-state Models in Epidemiology

    D. Commenges

  • A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia.

    Pierre Joly;Daniel Commenges;Catherine Helmer;Luc Letenneur

  • Maximum Penalized Likelihood Estimation in a Gamma-Frailty Model

    Virginie Rondeau;Daniel Commenges;Pierre Joly

  • Analysis of left-censored longitudinal data with application to viral load in HIV infection.

    Hélène Jacqmin-Gadda;Rodolphe Thiébaut;Geneviève Chêne;Daniel Commenges

  • Score test of homogeneity for survival data

    D. Commenges;P. K. Andersen

  • Principal Lifetime Occupation and Cognitive Impairment in a French Elderly Cohort (Paquid)

    Jean-Francois Dartigues;Michele Gagnon;Luc Letenneur;Pascale Barberger-Gateau

  • Modelling age‐specific risk: application to dementia

    Daniel Commenges;Luc Letenneur;Pierre Joly;Ahmadou Alioum

  • A proportional hazards model for arbitrarily censored and truncated data.

    Ahmadou Alioum;Daniel Commenges

  • Joint modelling of bivariate longitudinal data with informative dropout and left-censoring, with application to the evolution of CD4+ cell count and HIV RNA viral load in response to treatment of HIV infection.

    Rodolphe Thiébaut;Rodolphe Thiébaut;Hélène Jacqmin‐Gadda;Abdel Babiker;Daniel Commenges

  • A penalized likelihood approach for a progressive three-state model with censored and truncated data: application to AIDS.

    Pierre Joly;Daniel Commenges

  • A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data

    Cécile Proust;Hélène Jacqmin-Gadda;Jeremy M G Taylor;Julien Ganiayre

  • The intraclass correlation coefficient: distribution-free definition and test.

    Daniel Commenges;Helene Jacqmin

  • Random Changepoint Model for Joint Modeling of Cognitive Decline and Dementia

    Hélène Jacqmin-Gadda;Daniel Commenges;Jean-François Dartigues

  • Robust genetic linkage analysis based on a score test of homogeneity : the weighted pairwise correlation statistic

    D. Commenges

  • Incidence and mortality of Alzheimer's disease or dementia using an illness-death model.

    Commenges D;Joly P;Letenneur L;Dartigues Jf

  • Acute versus chronic partial sleep deprivation in middle-aged people: differential effect on performance and sleepiness.

    Pierre Philip;Pierre Philip;Patricia Sagaspe;Patricia Sagaspe;Patricia Sagaspe;Mélanie Prague;Patricia Tassi

  • Effect of gender, age, transmission category, and antiretroviral therapy on the progression of human immunodeficiency virus infection using multistate Markov models

    A. Alioum;V. Leroy;D. Commenges;F. Dabis

  • Choice between Semi-parametric Estimators of Markov and Non-Markov Multi-state Models from Coarsened Observations

    Daniel Commenges;Pierre Joly;Anne Gégout-Petit;Benoit Liquet

  • Generalized Score Test of Homogeneity Based on Correlated Random Effects Models

    D. Commenges;H. Jacqmin-Gadda

Frequent Co-Authors

Jean-François Dartigues
Jean-François Dartigues University of Bordeaux
Rodolphe Thiébaut
Rodolphe Thiébaut University of Bordeaux
Pascale Barberger-Gateau
Pascale Barberger-Gateau University of Bordeaux
François Dabis
François Dabis University of Bordeaux
Geneviève Chêne
Geneviève Chêne University of Bordeaux
Jeremy M. G. Taylor
Jeremy M. G. Taylor University of Michigan–Ann Arbor
Hein Putter
Hein Putter Leiden University Medical Center
Bruno Ledergerber
Bruno Ledergerber University of Zurich
Irini Sereti
Irini Sereti National Institutes of Health

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