N. K. Aaronson, S. Ahmedzai, B. Bergman, M. Bullinger, A. Cull et al., The European Organization for Research and Treatment of Cancer QLQ-C30: A Quality-of-Life Instrument for Use in International Clinical Trials in Oncology, JNCI Journal of the National Cancer Institute, vol.85, issue.5, pp.365-376, 1993.
DOI : 10.1093/jnci/85.5.365

A. Agresti, Analysis of Ordinal Categorical Data, 2010.
DOI : 10.1002/9780470594001

C. Annema, P. F. Roodbol, E. R. Van-den-heuvel, H. J. Metselaar, B. Van-hoek et al., Trajectories of anxiety and depression in liver transplant candidates during the waiting-list period, British Journal of Health Psychology, vol.45, issue.5, pp.481-501, 2017.
DOI : 10.1016/S0022-3999(98)00010-5

C. Biernacki, G. Celeux, and G. Govaert, Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000.
DOI : 10.1109/34.865189

C. Biernacki and J. Jacques, Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm, Statistics and Computing, vol.5, issue.2684, pp.929-943, 2016.
DOI : 10.1207/s15327906mbr0503_6
URL : https://hal.archives-ouvertes.fr/hal-01052447

F. Cousson-gélie, Evolution du contrôle religieux la premire année suivant lannonce dun cancer du sein: quels liens avec les stratégies de coping, lanxiété, la dépression et la qualité de vie? Psychologie Franaise, pp.331-341, 2014.

L. Deldossi and D. Zappa, Evaluating r & r of ordinal classifications with cub model, 2014.

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society, series B, vol.39, pp.1-38, 1977.

B. S. Everitt, Introduction to Latent Variable Models, 1984.
DOI : 10.1007/978-94-009-5564-6

M. Giordan and G. Diana, A Clustering Method for Categorical Ordinal Data, Communications in Statistics - Theory and Methods, vol.5, issue.7, pp.1315-1334, 2011.
DOI : 10.1111/1467-9868.00293

G. Govaert and M. Nadif, Co-Clustering. Computing Engineering series, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00933301

M. Iannario, On the identifiability of a mixture model for ordinal data URL: https://doi.org/10, pp.87-94, 1007.

J. Jacques and C. Biernacki, Model-based co-clustering for ordinal data, Computational Statistics & Data Analysis, vol.123, 2017.
DOI : 10.1016/j.csda.2018.01.014
URL : https://hal.archives-ouvertes.fr/hal-01383927

F. Jollois and M. Nadif, Classification de données ordinales : modèles et algorithmes, 41èmes Journées de Statistique, 2009.

L. Kaufman and P. J. Rousseeuw, Introduction, 1?67, 2008.

C. Keribin, V. Brault, G. Celeux, and G. Govaert, Estimation and selection for the latent block model on categorical data, Statistics and Computing, vol.22, issue.2, pp.1201-1216, 2015.
DOI : 10.1007/s11222-011-9233-4
URL : https://hal.archives-ouvertes.fr/hal-00802764

C. Keribin, G. Govaert, and G. Celeux, Estimation d'un modèlè a blocs latents par l'algorithme SEM, 42èmes Journées de Statistique, 2010.

S. J. Lewis, T. Foltynie, A. D. Blackwell, T. W. Robbins, A. M. Owen et al., Heterogeneity of Parkinson's disease in the early clinical stages using a data driven approach, Journal of Neurology, Neurosurgery & Psychiatry, vol.76, issue.3, pp.343-348, 2005.
DOI : 10.1136/jnnp.2003.033530

R. J. Little and D. B. Rubin, Statistical Analysis with Missing Data, 1986.
DOI : 10.1002/9781119013563

E. E. Malonebeach and S. H. Zarit, Dimensions of Social Support and Social Conflict as Predictors of Caregiver Depression, International Psychogeriatrics, vol.7, issue.1, p.2538, 1995.
DOI : 10.1017/S1041610295001827

D. Mcparland and I. C. Gormley, Clustering ordinal data via latent variable models Algorithms from and for Nature and Life : Classification and Data Analysis, Berthold Lausen, 2011.

D. Piccolo, On the moments of a mixture of uniform and shifted binomial random variables, 2003.

G. R. Pierce, I. G. Sarason, B. R. Sarason, J. A. Solky-butzel, and L. C. Nagle, Assessing the Quality of Personal Relationships, Journal of Social and Personal Relationships, vol.14, issue.3, pp.339-356, 1997.
DOI : 10.1177/0265407587044007

M. Ranalli and R. Rocci, Mixture models for ordinal data: a pairwise likelihood approach, Statistics and Computing, vol.141, issue.9, pp.529-547, 2016.
DOI : 10.1016/j.jspi.2011.03.026

V. Robert, Classification croisée pour l'analyse de bases de données de grandes dimensions de pharmacovigilance, Thèse de doctorat dirigée par Celeux, 2017.

I. G. Sarason, H. M. Levine, R. B. Basham, and B. R. Sarason, Assessing social support: The Social Support Questionnaire., Journal of Personality and Social Psychology, vol.44, issue.1, p.139, 1983.
DOI : 10.1037/0022-3514.44.1.127

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

J. Vermunt and J. Magidson, Latent gold 4.0 user's guide. belmont, massachusetts:statistical innovations inc, 2005.

A. S. Zigmond and R. P. Snaith, The hospital anxiety and depression scale, Acta Psychiatrica Scandinavica, vol.67543, issue.7, pp.361-370, 1983.