Publications 2008-2012

For all the publications see: http://scholar.google.co.uk/citations?hl=en&user=0kJ-xhMAAAAJ&view_op=list_works

Thea Hogan, Andrey Shuvaev, Daniel Commenges, Andrew Yate, Robin Callard, Rodolphe Thiebaut and Benedict Seddon (2013).

Clonally diverse T cell homeostasis is maintained by a common programme of cell cycle control. The Journal of Immunology, in press

Hélène Jacqmin-Gadda, Annick Alperovitch, Claire Montlahuc, DanielCommenges, Karen Leffondre, Carole Dufouil, Alexis Elbaz, Christophe Tzourio, Joël Ménard, Jean-François Dartigues andPierre Joly (2013)
20-year prevalence projections for dementia and
impact of preventive policy about risk factors, Eur J Epidemiology, in press.
Mélanie Prague; Daniel Commenges; Rodolphe Thiebaut. Dynamical models of biomarkers and clinical progression for personalized medicine
 the HIV context., Advanced Drug Delivery Reviews, in press.

Pierre Joly, Célia Touraine, Aurore Georget,Jean-François Dartigues, Daniel Commenges and Hélène Jacqmin-Gadda (2012) Prevalence projections of chronic diseases and impact of public health intervention, Biometrics, in press.


Commenges, D. and Proust-Lima, C. and Samieri, C. and Liquet, B. (2012) A universal approximate cross-validation criterion and its asymptotic distribution, arXiv:1206.1753

Commenges, D and Hejblum, B. (2013). Evidence synthesis through a degradation model applied to myocardial infarction. Lifetime Data Analysis, 19, 1-18.

Commenges, D. (2012) The stochastic system approach to causality with a view toward lifecourse epidemiology.
arXiv:1203.5728v1[math.ST]

Drylewicz, Julia, Commenges, Daniel and Thiebaut, Rodolphe (2012).

Maximum a Posteriori Estimation in Dynamical Models of Primary HIV Infection.
Statistical Communications in Infectious Diseases,
Volume 4, Issue 1, Pages –, ISSN (Online) 1948-4690, DOI: 10.1515/1948-4690.1040,
 May 2012

Prague, M., Commenges, D, Drylewycz, J and Thiébaut, R (2012) Treatment monitoring of HIV infected patients based on mechanistic models, Biometrics, in press.

Commenges, D., Liquet, B. and Proust-Lima, C. (2012) Choice of prognostic estimators in joint models by estimating differences of expected conditional Kullback-Leibler risks. Biometrics, 68, 380-387.

Joly, Pierre; Gerds, Thomas; Qvist, Vibeke; Commenges, Daniel; Keiding, Niels (2012). 
Estimating survival of dental fillings based on interval censored data and multi-state model,
Statistics in Medicine,
31, 1139-49.
Liquet, B  and Commenges, D. (2011) Choice of estimators based on different observations: modified AIC and LCV criteria. Scandinavian Journal of Statistics, 38, 268-287.

Working Group on Estimation of HIV Prevalence in Europe. (2011) HIV in hiding: Methods and data requirements for the estimation of the number of people living with undiagnosed HIV. AIDS, 25, 1017-1023.

Commenges D, Jolly, D, Putter, H and Thiébaut, R. (2011) Inference in HIV dynamics models via hierarchical likelihood. CSDA, 55, 446-456.

Sommmen, C., Commenges, D. Le Vu, S., Meyer, L. and Alioum, A. (2011), Estimation of infection times using longitudinal serological markers of HIV: implication for the estimation of HIV incidence. Biometrics, 67, 467-475.

Gégout-Petit, A. and Commenges, D. (2010) A general definition of influence between stochastic processes. LIDA, 16, 33-44.

Drylewicz, J., Commenges, D. and Thiébaut (2010) Score tests for exploring complex models: application to HIV dynamics model, Biometrical Journal, 52, 10-21.

Guedj, J, Thiebaut, R and Commenges, D. (2010) Joint modeling of the clinical progression and of the biomarkers dynamics using a mechanistic model. Biometrics, 67, 59-66.

Drylewicz, J., Guedj, J., Commenges, D. and Thiébaut (2010) Modeling the dynamics of biomarkers during primary infection taking into account the uncertainty of infection date. AOAS,  4, 1847-1870.

Commenges, D. (2010) Extending The Range of Application of Permutation Tests: the Expected Permutation p-value Approach. ArXiv1003.1002[mathST].

Corbière, F, Joly, P. and Commenges, D. (2009). A penalized likelihood approach for mixture cure models. Stat Med, 28, 510-524.

Rondeau Virginie, Jacqmin-Gadda Hélène, Commenges Daniel, Helmer Catherine, Jean-François Dartigues.
Aluminum and silica intake in drinking water and the risk of AlzheimerÇs disease or cognitive decline: findings of the 15-year follow-up PAQUID cohort. American Journal of Epidemiology, 169, 489-496.

Commenges, D. and Gégout-Petit, A. (2009).
A general dynamical model with causal interpretation. JRSS-B, 71, part 3, 719-736; {\em arXiv:0710.4396 },http://arxiv.org/abs/0710.4396

Jacqmin-Gadda, H., Proust, C, Taylor, J, Commenges, D. (2009). Score test for conditional independence between longitudinal outcome and time-to-event given the classes in the joint latent class model. Biometrics, in press.

Sommmen, C, Alioum, A and Commenges, D. (2009) A multistate approach for estimating the incidence of human immunodeficiency virus by using HIV and AIDS French surveillance data", Stat Med, 28: 1554-1568.

Commenges,D. (2009) Statistical models, conventional, penalized and hierarchical likelihood. Statistics Surveys, 3, 1-17.

Joly, P, Durand C, Helmer C, and Commenges D. (2009) Estimating life expectancy of demented and institutionalized subjects from interval-censored observations of a  Multi-state model. Statistical Modeling 9, 345-360.
Commenges, D. and Liquet, B. (2008). Asymptotic distribution of score statistics for spatial cluster detection with censored data, Biometrics, 64, 1287-1292.

Ganiayre, J., Commenges, D. and Letenneur, L. (2008). A Latent Process Model for Dementia and Psychometric Tests.  Lifetime Data Analysis 14, 115-133.

D. Commenges, A. Sayyareh, L. Letenneur, J. Guedj and A. Bar-Hen (2008)
Estimating a difference of Kullback-Leibler risks using a normalized difference of AIC. Annals of Applied Statistics, 2, 1123-1142.

Linda Wittkop, Daniel Commenges, Isabelle Pellegrin, Dominique Breilh, Didier Neau, Denis Lacoste, Jean-Luc Pellegrin, Geneviève Chêne, François Dabis, Rodolphe Thiébaut (2008). Alternative methods to analyse the impact of HIV mutations on virological response to antiviral therapy. BMC Medical Research Methodology 2008, 8:68.

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