M. Avalos

发表

Prescription medicine use by pedestrians and the risk of injurious road traffic crashes: A case-crossover study

A. Fourrier-Réglat, E. Lagarde, B. Gadegbeku, 2017, PLoS medicine.

2 Lasso Adapted to Additive Models

Yves Grandvalet, C. Ambroise, M. Avalos, 2019 .

Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors

D. Commenges, R. Thiébaut, M. Avalos, 2018, BMC Medical Research Methodology.

Respiratory mycobiome and suggestion of inter-kingdom network during acute pulmonary exacerbation in cystic fibrosis

P. Berger, I. Pin, B. Wallaert, 2020, Scientific Reports.

A web-based prospective cohort study of home, leisure, school and sports injuries in France: a descriptive analysis

E. Lagarde, B. Contrand, L. Orriols, 2021, Injury Epidemiology.

Parsimonious additive models

Christophe Ambroise, Yves Grandvalet, Marta Avalos, 2007, Comput. Stat. Data Anal..

Contribution à la sélection de modèle via pénalisation Lasso en Épidémiologie. (Contribution to model selection via Lasso penalization in Epidemiology)

Marta Avalos, M. Avalos, 2018 .

Identifying Optimal Overload and Taper in Elite Swimmers over Time.

Philippe Hellard, Marta Avalos, David Pyne, 2013, Journal of sports science & medicine.

Penalized logistic regression with low prevalence exposures beyond high dimensional settings

Marta Avalos, Martin Schumacher, Emmanuel Lagarde, 2019, PloS one.

Respiratory mycobiome and suggestion of inter-kingdom network during acute pulmonary exacerbation in cystic fibrosis

P. Berger, I. Pin, B. Wallaert, 2020, Scientific Reports.

Modelling of optimal training load patterns during the 11 weeks preceding major competition in elite swimmers.

Philippe Hellard, Marta Avalos, David B Pyne, 2017, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.

Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm

Yves Grandvalet, Marta Avalos, Hélène Pouyes, 2015, BMC Bioinformatics.

Assessing the limitations of the Banister model in monitoring training

Philippe Hellard, Marta Avalos, J. Chatard, 2006, Journal of sports sciences.

Health conditions and the risk of home injury in French adults: results from a prospective study of the MAVIE cohort

E. Lagarde, B. Contrand, L. Orriols, 2020, Injury Prevention.

Kinematic measures and stroke rate variability in elite female 200-m swimmers in the four swimming techniques: Athens 2004 Olympic semi-finalists and French National 2004 Championship semi-finalists

J. Dekerle, P. Hellard, C. Hausswirth, 2008, Journal of sports sciences.

Modeling the training-performance relationship using a mixed model in elite swimmers.

Philippe Hellard, Marta Avalos, J. Chatard, 2003, Medicine and science in sports and exercise.

Philippe Hellard, Marta Avalos, David B Pyne, 2015, Medicine and science in sports and exercise.

MODELING THE RESIDUAL EFFECTS AND THRESHOLD SATURATION OF TRAINING: ACASE STUDY OF OLYMPIC SWIMMERS

Philippe Hellard, Marta Avalos, J. Chatard, 2005, Journal of strength and conditioning research.

Modeling the association between HR variability and illness in elite swimmers.

C. Hausswirth, J. Toussaint, N. Houel, 2011, Medicine and science in sports and exercise.

MODELING THE ASSOCIATION BETWEEN HEART RATE VARIABILITY AND ILLNESS IN ELITE SWIMMERS

J. Toussaint, N. Houel, P. Hellard, 2011 .

Variable selection on large case‐crossover data: application to a registry‐based study of prescription drugs and road traffic crashes

Yves Grandvalet, Marta Avalos, Frantz Thiessard, 2014, Pharmacoepidemiology and drug safety.

Analysis of multiple exposures in the case‐crossover design via sparse conditional likelihood

Yves Grandvalet, Marta Avalos, Ludivine Orriols, 2012, Statistics in medicine.

Prescription-Drug-Related Risk in Driving: Comparing Conventional and Lasso Shrinkage Logistic Regressions

Yves Grandvalet, Marta Avalos, Frantz Thiessard, 2012, Epidemiology.

clogitLasso: an R package for high–dimensional analysis of matched case–control and case–crossover data

Yves Grandvalet, Hélène Pouyes, Ludivine Orriols, 2013 .

High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies

Yves Grandvalet, Marta Avalos, Hélène Pouyes, 2013, CIBB.

Regularization Methods for Additive Models

Christophe Ambroise, Yves Grandvalet, Marta Avalos, 2003, IDA.

3D kinematic and dynamic analysis of the front crawl tumble turn in elite male swimmers.

P Hellard, P. Hellard, M. Mesnard, 2012, Journal of biomechanics.

Assessing precision of lasso conditional logistic estimates in the case-crossover design

Marta Avalos, M. Avalos, 2011 .

Representation Learning of Compositional Data

Richard Nock, Cheng Soon Ong, Ke Sun, 2018, NeurIPS.

High-dimensional compositional microbiota data: state-of-the-art of methods and software implementations

Marta Avalos, Rodolphe Thiébaut, Perrine Soret, 2017 .

Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach

Marta Avalos, Marcela Henríquez-Henríquez, Hélène Touchais, 2020, IBICA.

Modeling the association between HR variability and illness in elite swimmers.

C. Hausswirth, J. Toussaint, N. Houel, 2011, Medicine & Science in Sports & Exercise.

De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems

Marta Avalos, Philippe Revel, Frantz Thiessard, 2021, FLAIRS.

Health administrative data enrichment using cohort information: Comparative evaluation of methods by simulation and application to real data

H. Jacqmin-Gadda, A. Pariente, C. Berr, 2019, PloS one.