1. Hébert, F., Causeur, D. and Emily, M.. (2022) Adaptive Handling of Dependence in Regression Modeling. Journal of Computational and Graphical Statistics. DOI: 10.1080/10618600.2022.2076687

  2. Hébert, F., Causeur, D. and Emily, M. (2022) Omnibus Testing Approach for Gene-Based Gene-Gene Interaction. Statistics in Medicine. doi: 10.1002/sim.9389.

  3. Prado, E., Eklouh-Molinier, C., Enez, F., Causeur, D., Blay, C., Dupont-Nivet, M., Labbé, L., Petit, V., Moreac, A., Taupier, G., Haffray, P., Bugeon, J., Corraze, G. and Nazabal, V. (2022) Prediction of fatty acids composition in the rainbow trout Oncorhynchus mykiss by using Raman micro-spectroscopy. Analytica Chimica Acta. Volume 1191, https://doi.org/10.1016/j.aca.2021.339212.


  1. Blay, C., Haffray P., D’Ambrosio, J., Prado, E., Dechamp, N., Nazabal, V., Bugeon, J., Enez, F., Causeur, D., Eklouh-Molinier, C., Petit, V., Phocas, F., Corraze, G. and Dupont-Nivet, M. (2021) Genetic Architecture and Genomic Selection of Fatty Acid Composition Predicted by Raman Spectrocopy in Rainbow Trout. BMC Genomics. 22, 788. https://doi.org/10.1186/s12864-021-08062-7

  2. Comfort, W.E., Nunes de Andrade, B., Wingenbach, T.S.H, Causeur, D., Boggio, P.S. (2021). Implicit Responses in the Judgement of Attractiveness in Faces with Differing Levels of Makeup. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000408

  3. Suwareh, O., Causeur, D., Jardin, J., Briard-Bion, V., Le Feunteun, S., Pézennec, S., Nau, F. (2021) Statistical modeling of in vitro pepsin specificity. Food Chemistry. 130098, Volume 362. https://doi.org/10.1016/j.foodchem.2021.130098.

  4. Hébert, F., Causeur, D. and Emily, M. (2021), An adaptive decorrelation procedure for signal detection, Computational Statistics & Data Analysis, Vol. 153.


  1. Causeur, D., Sheu, C.-F., Perthame, E. and Rufini, F. (2020). A functional generalized F-test for signal detection with applications to event-related potentials significance analysis. Biometrics. 246-256.

  2. Aïchi, H., Fouad, Y., Causeur, D., and Walter, C. (2020) Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectra and Quantification of Their Contents Using PLS R Models. Communications in Soil Science and Plant Analysis, 51:9, 1253-1267.


  1. Désert, C., Baeza, E., Aite, M., Boutin, M., Le Cam, A., Montfort, J., Houée-Bigot, M., Blum, Y., Roux, P.-F., Hennequet-Antier, C., Berri, C., Metayer-Coustard, S., Collin, A., Allais, S., Lebihan, E., Causeur, D., Gondret, F., Duclos, M., Lagarrigue, S. (2018). Multi-tissue transcriptomic study reveals the main role of liver in the chicken adaptive response to a switch in dietary energy source through the transcriptional regulation of lipogenesis. BMC Genomics. 19(1):187.


  1. Gondret, F., Vincent, A., Houée-Bigot, M., Siegel, A., Lagarrigue, S., Causeur, D., Gilbert, H. and Louveau, I. (2017). A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs. BMC Genomics. 18:244.

  2. Hornung, R., Causeur, D., Bernau, C. and Boulesteix, A.-L. (2017). Improving cross-study prediction through addon batch effect adjustment and addon normalization. Bioinformatics. 33(3). 397-404.


  1. Blum, Y., Houée-Bigot, M., Causeur, D. (2016). Sparse factor model for co-expression networks with an application using prior biological knowledge. Statistical Applications in Genetics and Molecular Biology. 15(3), 253-272.

  2. Hornung, R. Boulesteix, A.-L. and Causeur, D. (2016). Combining location-and scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinformatics. 12, 17:27.

  3. Gondret, F., Vincent, A., Houée-Bigot, M., Siegel, A., Lagarrigue, S., Louveau, I. and Causeur, D. (2016). Molecular alterations induced by a high-fat high-fiber diet in porcine adipose tissues: variations according to the anatomical fat location. BMC Genomics. 18, 17:120.

  4. Nyemb-Diop, K., Causeur, D., Jardin, J., Briard-Bion V., Guérin-Dubiard, C., Rutherfurd, S.-M., Dupont and nau, F. (2016). Investigating the impact of egg white gel structure on peptide kinetics profile during in vitro digestion. Food Research International. 88(B). 302-309.

  5. Sheu, C-.F., Perthame, E., Lee, Y-.S., Causeur, D. (2016). Accounting for time dependence in large-scale multiple testing of event-related potential data. Annals of Applied Statistics. 10(1), 219-245.

Before 2016

  1. Perthame, E., Friguet, C. and Causeur, D. (2015) Stability of feature selection in classification issues for high-dimensional correlated data. Statistics and Computing. DOI 10.1007/s11222-015-9569-2. pp 1-14.

  2. Gelein, B., Haziza, D. and Causeur, D. (2014) Preserving relationships between variables with MIVQUE based imputation for missing survey data. Journal of Multivariate Analysis. 131, 197–208

  3. Nyemb, K., Jardin, J., Causeur, D., Guérin-Dubiard, C., Dupont, D., Rutherfurd, S.M. and Nau, F. (2014) Investigating the impact of ovalbumin aggregate morphology on in vitro ovalbumin digestion using label-free quantitative peptidomics and multivariate data analysis. Food Research International, 63, 192-202.

  4. Causeur, D., Chu, M.-C., Hsieh, S. and Sheu, C.-F. (2012) A factor-adjusted multiple testing procedure for ERP data analysis. Behavior Research Methods. 44, 635-643.

  5. Mach, N., Blum, Y., Bannink, A., Causeur, D., Houée-Bigot, M., Lagarrigue, S. and Smits, M.-A. (2012) Pleiotropic effects of polymorphism of the gene diacylglycerol-O-transferase 1 (DGAT1) in the mammary gland tissue of dairy cows. Journal of Dairy Science. 95 (9), 4989-5000.

  6. Blum, Y., Le Mignon, G., Causeur, D., Filangi, O. Désert, C. Demeure, O. Le Roy, P. and Lagarrigue, S. (2011) Complex trait subtypes identification using transcriptome profiling reveals an interaction between two QTL affecting adiposity in chicken. BMC Genomics. 12:567.

  7. Causeur, D., Friguet, C., Houée-Bigot, M. and Kloareg, M. (2011). Factor Analysis for Multiple Testing (FAMT): An R package for Large-Scale Significance Testing Under Dependence. Journal of Statistical Software. 40 (14), 1-19.

  8. Friguet, C. and Causeur, D. (2010). Estimation of the proportion of true null hyptheses in high-dimensional data under dependence. Computational Statistics and Data Analysis, 55 (9), 2665-2676

  9. Blum, Y., Le Mignon, G., Lagarrigue, S. and Causeur, D. (2010). A factor model to analyse heterogeneity in gene expressions. BMC Bioinformatics. BMC Bioinformatics. 11:368.

  10. Caffier, V., Didelot, F., Pumo, B., Causeur, D., Durel, C.E. and Parisi, L. (2010). Aggressiveness of eight Venturia inaequalis isolates virulent or avirulent to the major resistance gene Rvi6 on a non-Rvi6 apple cultivar. Plant pathology. 59(6) 1072-1080.

  11. Friguet, C., Kloareg, M. and Causeur, D. (2009). A factor model approach to multiple testing under dependence. Journal of the American Statistical Association. 104 (488), 1406-1415.

  12. Causeur, D., Kloareg, M. and Friguet, C. (2009). Control of the FWER in multiple testing under dependence. Communications in Statistics - Theory and Methods. Special issue dedicated to Pr. Shelley Zacks. 38 (16, 17) 2733-2747.

  13. Ablain, W., Hallier Soulier, S., Causeur, D., Gautier, M. and Baron, F. (2009) A simple and rapid method for the disruption of Staphylococcus aureus, optimized for quantitative reverse transcriptase applications: Application for the examination of Camembert cheese. Dairy Science and Technology. DOI: 10.1051/dst/2008034

  14. Cutullic, E., Delaby, L., Causeur, D., Michel, G. and Disenhaus, C. (2009) Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system. Animal Reproduction Science. 113 (1-4), 22-37

  15. Kloareg, M. and Causeur, D. (2009). Double-sampling designs to reduce the non-discovery rate. Application to microarray data. Journal of Data Science. 7(2). 219-234.

  16. Causeur, D. and Husson, F. (2008). Asymptotic power of double-sampling tests for general linear hypothesis. Statistics. 42, 2. 115-125.

  17. Kloareg, M. and Causeur, D. (2007). Improving Type-II error rates of multiple testing procedures by use of auxiliary variables. application to microrray data. in Recent advances in Stochastic Modelling and data Analysis, Ed. Christos Skiadas, World Scientific Publishing, Co Pte Ldt.

  18. Causeur, D. (2006). MIVQUE and maximum likelihood estimation for multivariate linear models with incomplete observations. Sankhya. 68 (3), 408-434.

  19. Causeur, D. (2005). Optimal sampling from concomitant variables for regression problems. Journal of Statistical planning and Inference. 128, 289-301.

  20. Causeur, D. , Dhorne, T. and Antoni, A. (2005). A two-way analysis of variance model with positive definite interaction for homologous factors. Journal of Multivariate Analysis. 95 (2), 431-448.

  21. Causeur, D. and Husson, F. (2005). A 2-dimensional extension of the Bradley-Terry model for paired comparisons. Journal of Statistical planning and Inference. 135 , 245-259.

  22. Ledauphin, S., Vigneau, E. and Causeur, D. (2005). Functional approach for the analysis of Time Intensity curves using B-splines. Journal of Sensory Studies. 20 (4), 285-300.

  23. Causeur, D. and Dhorne, T. (2003). Linear Regression Models under Conditional Independence Restrictions. Scandinavian Journal of Statistics. 30 (3), 637-650.

  24. Kamp, J.F., Marin-Mamellet, C., Forzy, J.F. and Causeur, D. (2001). HMI Aspects of the Usability of Internet Services with an In-car Terminal on a Driving Simulator. IATSS Research. 25 (2), 29-40.

  25. Causeur, D. (1999). Exact distribution of the regression estimator in double-sampling. Statistics, 32 , 297-315.

  26. Causeur, D. (1998). Plan d’échantillonnage en plusieurs phases pour la réduction des coûts expérimentaux en régression linéaire. Revue de Statistique Appliquée. XLVI (4), 59-73.

  27. Causeur, D. and Dhorne, T. (1998). Finite-sample properties of a multivariate extension of double-regression. Biometrics. 54 (4), 1591-1601.