-
Anderlucci, L., Viroli, C. (2015) Covariance pattern
mixture models for the analysis of multivariate heterogeneous
longitudinal data, Annals of Applied Statistics,
accepted. http://arxiv.org/abs/1401.1301
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Anderlucci, L., Montanari A., Viroli, C. (2014) A Study
on the Cognitive Functioning in Elderly Danish Twins,
submitted.
-
Anderlucci, L., Hennig C. (2014) Clustering of
categorical data: a comparison of a model- based and a
distance-based approach, Communications in Statistics − Theory
and Methods, 43(4), pp. 704-721. DOI:
10.1080/03610926.2013.806665
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F. Saia, A. Latib, C. Ciuca, V. Gasparetto, M. Napodano, A.
Sticchi, L. Anderlucci, C. Marrozzini, T. Naganuma, O. Alfieri, M.
Facchin, B. Hoxha, C. Moretti, A. Marzocchi, A. Colombo, G.
Tarantini (2014) Causes and timing of death during
long-term follow-up after transcatheter aortic valve
replacement, American Heart Journal, 168(5), pp.798-806
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L. Tonetti, M. Fabbri, M. Martoni, L. Anderlucci, M. Filardi, V.
Natale (2014) Relationship between sleep time preference of
adolescents and their parents, Biological Rhythm Research,
45(6), pp. 875-884
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V. Lomonaco, R. Martoglia, F. Mandreoli, L. Anderlucci, W.
Emmett, S. Bicciato, C. Taccioli (2014) UCbase
2.0: ultra conserved sequences database
(2014 update), Database,
DOI:10.1093/database/bau062
- Anderlucci, L. (2013) Discussion on How to find an
appropriate clustering for mixed-type variables with application to
socio-economic stratification, Journal of the Royal Statistical
Society − series C, 2013, Part 3, pp. 309–369
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Viroli C., Anderlucci, L., Modelling longitudinal data
through matrix-variate normal mixtures, Book of Abstract of the
SIS 2013 Statistical Conference, Advances in Latent Variables -
Methods, Models and Applications, 2013, accepted.
-
Anderlucci, L., Viroli C., Model-based clustering of
multivariate longitudinal data, Quaderni di Dipartimento -
Serie Ricerche 2013, n. 3, pp. 39-40, vol.3, 2013. ISSN
1973-9346.
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Di Leva, G.; Piovan, C.; Gasparini, P.; Ngankeu, A.; Taccioli,
C.; Briskin, D.; Cheung, D.G.; Bolon, B.; Anderlucci, L.; Alder,
H.; Nuovo, G.; Li, M.; Iorio, M.V.; Santhanam, R.; Powell, K.A.;
Brasatz, A.; Garofalo, M.; Nephew, K.P.; Croce, C.M.
(2013) Estrogen mediated-activation of miR-191/425 cluster
modulates tumorigenicity of breast cancer cells depending on
Estrogen Receptor status, PLOS Genetics, 9(3)
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Bordoni, B.; Saia, F.; Ciuca, C.; Marrozzini, C.; Santoro, M.;
Dall'Ara, G.; Anderlucci, L.; Montefiori, M.; Moretti, C.; Alberti,
A.; Bragagni, G; Montori, C.; Pollastri, G., Cocchi, D.; Marzocchi,
A; per i ricercatori dello studio ELISA (2013) Prevalenza
della stenosi aortica degenerativa negli anziani: risultati di uno
studio epidemiologico di comunità, Giornale Italiano di
Cardiologia, 14, pp.262-268. DOI: http://dx.doi.org/10.1714/1257.13881
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Anderlucci, L., Hennig C., Clustering of categorical
data: a comparison of different approaches, Quaderni di
Statistica, pp. 1-4, vol.14, 2012. ISBN-13 978-88-207-5364-1, ISSN
1594-373.
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Anderlucci, Laura. Comparing Different Approaches for
Clustering Categorical Data, in AMS Tesi di Dottorato, Bologna:
Alma Mater Studiorum, Università di Bologna, 2012. ISSN: 2038-7946,
<http://amsdottorato.cib.unibo.it/4302/>
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Anderlucci, L., Hennig C., How well does mixture clustering
do according to distance-based criteria?, Poster presented at
the “Working Group on Model-Based Clustering Summer Session”
Glasgow (GB), 17-23/07/2011.