Search Results - "Commenges, Daniel"

Dynamic modeling of multivariate dimensions and their temporal relationships using latent processes: Application to Alzheimer's disease.

Authors: Taddé, Bachirou O. Jacqmin‐Gadda, Hélène Dartigues, Jean‐François et al.

Source: Biometrics; Sep2020, Vol. 76 Issue 3, p886-899, 14p

Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study.

Authors: Prague, Mélanie Commenges, Daniel Gran, Jon Michael et al.

Source: Biometrics. Mar2017, Vol. 73 Issue 1, p294-304.

Prevalence Projections of Chronic Diseases and Impact of Public Health Intervention.

Authors: Joly, Pierre Touraine, Célia Georget, Aurore et al.

Source: Biometrics. Mar2013, Vol. 69 Issue 1, p109-117.

Treatment Monitoring of HIV-Infected Patients based on Mechanistic Models.

Authors: Prague, Mélanie Commenges, Daniel Drylewicz, Julia et al.

Source: Biometrics. Sep2012, Vol. 68 Issue 3, p902-911.

Joint Modeling of the Clinical Progression and of the Biomarkers' Dynamics Using a Mechanistic Model.

Authors: Guedj, Jeremie Thiébaut, Rodolphe Commenges, Daniel

Source: Biometrics. Mar2011, Vol. 67 Issue 1, p59-66.

Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model.

Authors: Jacqmin-Gadda, Hélène Proust-Lima, Cécile Taylor, Jeremy M. G. et al.

Source: Biometrics. Mar2010, Vol. 66 Issue 1, p11-19.

A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data.

Authors: Proust, Cécile Jacqmin-Gadda, Hélène Taylor, Jeremy M. G. et al.

Source: Biometrics. Dec2006, Vol. 62 Issue 4, p1014-1024.

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Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback-Leibler Risks.

Authors: Commenges, Daniel Liquet, Benoit Proust-Lima, Cécile

Source: Biometrics. Jun2012, Vol. 68 Issue 2, p380-387.

Dynamical Biostatistical Models.

Authors: Richardson, Alice M.¹ Alice.Richardson@canberra.edu.au

Source: International Statistical Review. Aug2016, Vol. 84 Issue 2, p320-321. 2p.

A Universal Approximate Cross-Validation Criterion for Regular Risk Functions.

Authors: Commenges, Daniel Proust-Lima, Cécile Samieri, Cécilia et al.

Source: International Journal of Biostatistics. May2015, Vol. 11 Issue 1, p51-67. 17p.

Dealing with death when studying disease or physiological marker: the stochastic system approach to causality.

Authors: Commenges, Daniel¹ (AUTHOR) daniel.commenges@u-bordeaux.fr

Source: Lifetime Data Analysis. Jul2019, Vol. 25 Issue 3, p381-405. 25p.

Choice of Estimators Based on Different Observations: Modified AIC and LCV Criteria.

Authors: LIQUET, BENOIT COMMENGES, DANIEL

Source: Scandinavian Journal of Statistics. Jun2011, Vol. 38 Issue 2, p268-287. 20p. 4 Charts, 4 Graphs.

Multi-state Model for Dementia, Institutionalization, and Death.

Authors: Commenges, Daniel Joly, Pierre

Source: Communications in Statistics: Theory & Methods. Jun2004, Vol. 33 Issue 6, p1315-1326. 12p.

The stochastic system approach for estimating dynamic treatments effect.

Authors: Commenges, Daniel Gégout-Petit, Anne

Source: Lifetime Data Analysis. Oct2015, Vol. 21 Issue 4, p561-578. 18p.

Evidence synthesis through a degradation model applied to myocardial infarction.

Authors: Commenges, Daniel Hejblum, Boris

Source: Lifetime Data Analysis. Jan2013, Vol. 19 Issue 1, p1-18. 18p.

Joint Modeling of Multivariate Survival Data With an Application to Retirement.

Authors: Li, Grace Lesperance, Mary Wu, Zheng

Source: Sociological Methods & Research. Nov2022, Vol. 51 Issue 4, p1920-1946. 27p.

Report of the Co-Editors – 2003.

Authors: Cullis, Brian Commenges, Daniel Kenward, Mike et al.

Source: Biometrics; Mar2004, Vol. 60 Issue 1, preceding pvii-ix, 1p, 3 Charts, 1 Graph

A Review of: “Flowgraph Models for Multistate Time-to-Event Data”.

Authors: Commenges, Daniel¹ (AUTHOR)

Source: Journal of Biopharmaceutical Statistics. Oct2005, Vol. 15 Issue 5, p883-884. 2p.