C. Bennette and A. Vickers, Against quantiles: categorization of continuous variables in epidemiologic research, and its discontents, BMC Medical Research Methodology, vol.10, issue.5, pp.21-25, 2012.
DOI : 10.1016/S1470-2045(09)70079-8

D. Altman, B. Lausen, W. Sauerbrei, and M. Schumacher, Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors, JNCI Journal of the National Cancer Institute, vol.86, issue.11, pp.829-835, 1994.
DOI : 10.1093/jnci/86.11.829

P. Royston, D. Altman, and W. Sauerbrei, Dichotomizing continuous predictors in multiple regression: a bad idea, Statistics in Medicine, vol.22, issue.1, pp.127-141, 2006.
DOI : 10.1002/sim.2331

F. Harrell, K. Lee, and D. Mark, MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS, Statistics in Medicine, vol.15, issue.4, pp.361-387, 1996.
DOI : 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4

R. Miller, Simultaneous statistical inference, XVI, vol.299, 1981.
DOI : 10.1007/978-1-4613-8122-8

P. Westfall, Improving Power by Dichotomizing (Even Under Normality), Statistics in Biopharmaceutical Research, vol.3, issue.2, pp.353-362
DOI : 10.1198/sbr.2010.09055

R. Simes, An improved Bonferroni procedure for multiple tests of significance, Biometrika, vol.73, issue.3, pp.751-754, 1986.
DOI : 10.1093/biomet/73.3.751

Z. Sidak, Rectangular Confidence Regions for the Means of Multivariate Normal Distributions, Journal of the American Statistical Association, vol.62, issue.318, pp.626-633, 1967.
DOI : 10.2307/2283989

S. Holm, A simple sequentially rejective multiple test procedure, Scand J Stat, vol.6, pp.65-70, 1979.

G. Hommel, A stagewise rejective multiple test procedure based on a modified Bonferroni test, Biometrika, vol.75, issue.2, pp.383-386, 1988.
DOI : 10.1093/biomet/75.2.383

B. Efron, The length heuristic for simultaneous hypothesis tests, Biometrika, vol.84, issue.1, pp.143-157, 1997.
DOI : 10.1093/biomet/84.1.143

B. Liquet and D. Commenges, Correction of theP-value after multiple coding of an explanatory variable in logistic regression, Statistics in Medicine, vol.347, issue.19, pp.2815-2826, 2001.
DOI : 10.1002/sim.916

B. Liquet and D. Commenges, Computation of the p-value of the minimum of score tests in the generalized linear model, application to multiple coding, pp.33-38, 2005.

R. Hashemi and D. Commenges, Correction of the p-value after multiple tests in a Cox proportional hazard model, Lifetime Data Analysis, vol.8, issue.4, pp.335-348, 2002.
DOI : 10.1023/A:1020514804325

M. Bonarek, P. Barberger-gateau, L. Letenneur, V. Deschamps, A. Iron et al., Relationships between Cholesterol, Apolipoprotein E Polymorphism and Dementia: A Cross-Sectional Analysis from the PAQUID Study, Neuroepidemiology, vol.19, issue.3, pp.141-189, 2000.
DOI : 10.1159/000026249

P. Mccullagh and J. Nelder, Genaralized Linear Models. 2edition, 1989.

D. Cox and D. Hinkley, Theoretical Statistics, 1994.
DOI : 10.1007/978-1-4899-2887-0

T. Royen, Expansions for the multivariate chi-square distribution, Journal of Multivariate Analysis, vol.38, issue.2, pp.213-232, 1991.
DOI : 10.1016/0047-259X(91)90041-Y

N. Dagupsta and J. Spurrier, A class of multivariate ? 2 distributions with applications to comparison with a control, Commun Stat-Theory Methods, vol.26, pp.1559-1573, 1997.

K. Worsley, An improved Bonferroni inequality and applications, Biometrika, vol.69, issue.2, pp.297-302, 1982.
DOI : 10.1093/biomet/69.2.297

P. Westfall and S. Young, Wiley Series in Probability and Mathematical Statistics Applied Probability and Statistics, 1992.

K. Yu, F. Liang, J. Ciampa, and N. Chatterjee, Efficient p-value evaluation for resampling-based tests, Biostatistics, vol.12, issue.3, pp.582-593, 2011.
DOI : 10.1093/biostatistics/kxq078

D. Commenges and B. Liquet, Asymptotic Distribution of Score Statistics for Spatial Cluster Detection with Censored Data, Biometrics, vol.84, issue.4, pp.1287-1289, 2008.
DOI : 10.1111/j.1541-0420.2008.01132_1.x

URL : https://hal.archives-ouvertes.fr/inserm-00262060

J. Romano, On the Behavior of Randomization Tests without a Group Invariance Assumption, Journal of the American Statistical Association, vol.29, issue.411, pp.411-412686, 1990.
DOI : 10.1214/aos/1176347007

H. Xu and J. Hsu, Applying the Generalized Partitioning Principle to Control the Generalized Familywise Error Rate, Biometrical Journal, vol.415, issue.1, pp.52-67, 2007.
DOI : 10.1002/bimj.200610307

E. Kaizar, Y. Li, and J. Hsu, Permutation Multiple Tests of Binary Features Do Not Uniformly Control Error Rates, Journal of the American Statistical Association, vol.106, issue.495, pp.1067-1074, 2011.
DOI : 10.1198/jasa.2011.tm10067

D. Commenges, Transformations which preserve exchangeability and application to permutation tests, Journal of Nonparametric Statistics, vol.1, issue.2, pp.171-185, 2003.
DOI : 10.2307/2290009

URL : https://hal.archives-ouvertes.fr/inserm-00262035

P. Westfall and J. Troendle, Multiple Testing with Minimal Assumptions, Biometrical Journal, vol.12, issue.5, pp.745-755, 2008.
DOI : 10.1002/bimj.200710456

P. Good, Permutation Tests: Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses, 2000.

B. Efron and R. Tibshirani, An Introduction to the Bootstrap (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), 1994.