Félix Camirand Lemyre

A scientist at heart, Félix Camirand Lemyre specializes in methodological statistics. His work applies to biomedical and forensic sciences. In statistics, he is interested in problems of inference in the presence of imprecise data, the quantification of uncertainty and dependency modeling. In forensic toxicology, he collaborates with Brigitte Desharnais of the Laboratoire de sciences judiciaires et de médecine légale de Montréal to improve the analysis of data from blood sample analysis instruments. As part of this team, three of his students have contributed to a better understanding of the extent of the opioid crisis in Quebec. At the CHUS Research Centre, he is a regular researcher and scientific head of the biostatistics section of the Clinical Research and Epidemiology Unit.

Félix Camirand Lemyre’s main work focuses on non-parametric inference procedures for complex data. He is also working on the estimation of non-linear dependency patterns in the presence of time series and censored data, and on techniques for the distributional analysis of dietary intakes. In addition, in the area of nutritional epidemiology, Prof. Camirand Lemyre is investigating ways in which long-term exposure effects can be estimated from short-term exposure measurements. Statistical strategies for analyzing dynamic data flows, in real time, and the quantification of uncertainty in risk analysis are also of interest to him.

Education

Ph.D., Université de Sherbrooke, mathematics

Master, Université de Montpellier 2, biostatistics

M. Sc., Université de Sherbrooke, mathématiques et biostatistique

Awards

Honorary Research Fellow, School of Mathematics and Statistics, University of Melbourne, since 2018.

New Investigator Presentation Award 2018, “Estimating the Distribution of Episodically Consumed Food Measured with Errors”, Statistical Society of Canada Annual Conference, 2018.

Publications

Camirand Lemyre F, Desharnais B, Laquerre J, Morel M-A, Côté C, Mireault P, Skinner CD (2020) Qualitative threshold method validation and uncertainty evaluation: a theoretical framework and application to a 40 analytes LC-MS/MS method. Drug Testing and Analysis. doi: 10.1002/dta.2867 Cite Download
Arsenault C, Camirand Lemyre F, Martin P, Lévesque S (2019) Bayesian Evaluation of Solana HSV 1+2/VZV Assay Compared to Viral Culture and Commercial PCR Assay for Cutaneous or Mucocutaneous Specimens. Journal of Clinical Microbiology 58: . doi: 10.1128/JCM.01552-19 Cite
Bouezmarni T, Camirand Lemyre F, Quessy J-F (2019) On the large-sample behavior of two estimators of the conditional copula under serially dependent data. Metrika 82:823–841 . doi: 10.1007/s00184-019-00711-y Cite
Bouezmarni T, Camirand Lemyre F, El Ghouch A (2019) Estimation of a bivariate conditional copula when a variable is subject to random right censoring. Electronic Journal of Statistics 13:5044–5087 . doi: 10.1214/19-EJS1645 Cite
Bouezmarni T, Camirand Lemyre F, Quessy J-F (2019) Inference on local causality and tests of non-causality in time series. Electronic Journal of Statistics 13:4121–4156 . doi: 10.1214/19-EJS1623 Cite
Belalia M, Bouezmarni T, Camirand Lemyre F, Taamouti A (2017) Testing independence based on Bernstein empirical copula and copula density. Journal of Nonparametric Statistics 29:346–380 . doi: 10.1080/10485252.2017.1303063 Cite
Desharnais B, Camirand Lemyre F, Mireault P, Skinner CD (2017) Procedure for the Selection and Validation of a Calibration Model I—Description and Application. Journal of Analytical Toxicology. doi: 10.1093/jat/bkx001 Cite Download
Camirand Lemyre F, Quessy J-F (2017) Multiplier bootstrap methods for conditional distributions. Statistics and Computing 27:805–821 . doi: 10.1007/s11222-016-9655-0 Cite
Desharnais B, Camirand Lemyre F, Mireault P, Skinner CD (2017) Procedure for the Selection and Validation of a Calibration Model II—Theoretical Basis. Journal of Analytical Toxicology 41:269–276 . doi: 10.1093/jat/bkx002 Cite Download
Camirand Lemyre F (2016) Sur des estimateurs et des tests non-paramétriques pour des distributions et copules conditionnelles. Thèse de doctorat, Université de Sherbrooke Cite Download
Desharnais B, Camirand Lemyre F, Mireault P, Skinner CD (2015) Determination of Confidence Intervals in Non-normal Data: Application of the Bootstrap to Cocaine Concentration in Femoral Blood. Journal of Analytical Toxicology 39:113–117 . doi: 10.1093/jat/bku127 Cite
Camirand Lemyre F (2016) Sur des estimateurs et des tests non-paramétriques pour des distributions et copules conditionnelles. Thèse de doctorat, Université de Sherbrooke Cite Download