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Grupo de estadística multivariante y computacional Constituido por profesores de las Universidades de Barcelona, Politécnica de Catalunya y Pompeu Fabra Principales objetivos científicos: a) Estudiar el análisis de la supervivencia pra vectores de tiempos consecutivos.  b) Estudiar y comparar técnicas de representación multivariant de datos y proponer modelos paramétricos. c) Generalizar ciertas propiedades de matrices a núcleos simétricos. d) Proponer modelos de distribuci ones bivariantes que tengan aplicación en estadística. e) Simular diseños óptimos de model0s de fármacos y realizar inferencia estadística mediante remuestreo. f) Aplicar técnicas de geometria diferencial para estudiar propiedades intrínseca s de modelos estadísticos. g) Contribuir al análisis discriminante y a la classificacióm basada en distancias. h) Construir modelos y herramientas para la integración de datos dwe alto rendimento generados por la investigac ión biomédica. i) Participar en estudios de enfermedades inmunes desde la perspectiva de la biología de sistemas. Publicaciones periodo 2005-2008  Artículos Abanades, S.; Farré, M.; Barral, D.; Torrens, M.; Closas, N. Langohr, K.; Pastor, A., De la Torre, R.; Relative A buse Liabi lity of γ-Hydroxybutyric Acid, Flunitrazepam, and Ethanol in Club Drug Users.  J. of Clinical Psychopharmacology, 27, 625 - 638 , 2007. Abanades, S.; Farré. M.; Segura, M.; Pichini, S.; Barral, D.; Pacifici, R.; Pellegrini, M.; Fonseca, F.; Lango hr, K., de la Torre, R. Gamma-Hyd roxybutyrate (GHB) in Humans. Pharmacodynamics and Pharmacokinetics.  Annals of the New York  Academy of Sciences, 1074, 559- 576, 2006. Calle, M.L.; Gómez, G. A semiparametric hierarchical method for a regresión model with an interval–censored covariate. Australian and New Zealand  J. of Statistics , l47, 351–364, 2005.  N. Limnios and C. Huber–Carol). Springer, Statistics for Industry and Technology , in  press, 2008. Calle, M-L.; Hough, G.; Curia, A.; Gómez, G. Bayesian Survival analysis modeling applied to sensory shelf life of foods. Food Quality and Preference, 17 (3–4), 307– 312. 2006. Curia, A.; Aguerrido, M.; Langohr, K.; Hough, G. Survival Analysis Applied to Sensory Shelf Life of Yogurts--I: Argentine Formulations  J. of Food Science, 70, 442- 445, 2005. De Sola, S., Miguélez-Pa n, M, Peña-Casanova, J.; Poudevida, S.;Farré, M.; Pacifici, R.; Böhm, P.; Abanades, S.; Verdejo-García , A.; Langohr, K, Zuccaro, P.; de la Torre R. Cognitive performance in recreational ecstasy polydrug users: a two-year follow-up study.  J. of Psychopharma cology, 22(5), 498–510, 2008.

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Grupo de estadística multivariante y computacional

Constituido por profesores de las Universidades de Barcelona, Politécnica de Catalunyay Pompeu Fabra

Principales objetivos científicos:

a) Estudiar el análisis de la supervivencia pra vectores de tiempos consecutivos. b) Estudiar y comparar técnicas de representación multivariant de datos y proponer modelos paramétricos.c) Generalizar ciertas propiedades de matrices a núcleos simétricos.d) Proponer modelos de distribuciones bivariantes que tengan aplicación enestadística.e) Simular diseños óptimos de model0s de fármacos y realizar inferencia estadísticamediante remuestreo.f) Aplicar técnicas de geometria diferencial para estudiar propiedades intrínsecas demodelos estadísticos.g) Contribuir al análisis discriminante y a la classificacióm basada en distancias.h) Construir modelos y herramientas para la integración de datos dwe alto rendimentogenerados por la investigación biomédica.i)  Participar en estudios de enfermedades inmunes desde la perspectiva de la biologíade sistemas.

Publicaciones periodo 2005-2008 Artículos

Abanades, S.; Farré, M.; Barral, D.; Torrens, M.; Closas, N. Langohr, K.; Pastor, A., Dela Torre, R.; Relative Abuse Liability of γ-Hydroxybutyric Acid, Flunitrazepam, andEthanol in Club Drug Users.   J. of Clinical Psychopharmacology, 27, 625 - 638 ,2007.

Abanades, S.; Farré. M.; Segura, M.; Pichini, S.; Barral, D.; Pacifici, R.; Pellegrini, M.;Fonseca, F.; Langohr, K., de la Torre, R. Gamma-Hydroxybutyrate (GHB) inHumans. Pharmacodynamics and Pharmacokinetics.   Annals of the New York 

 Academy of Sciences, 1074, 559- 576, 2006.Calle, M.L.; Gómez, G. A semiparametric hierarchical method for a regresión model

with an interval–censored covariate. Australian and New Zealand   J. of Statistics,l47, 351–364, 2005.

 N. Limnios and C. Huber–Carol). Springer, Statistics for Industry and Technology, in press, 2008.Calle, M-L.; Hough, G.; Curia, A.; Gómez, G. Bayesian Survival analysis modeling

applied to sensory shelf life of foods. Food Quality and Preference, 17 (3–4), 307– 312. 2006.

Curia, A.; Aguerrido, M.; Langohr, K.; Hough, G. Survival Analysis Applied toSensory Shelf Life of Yogurts--I: Argentine Formulations   J. of Food Science, 70,442- 445, 2005.

De Sola, S., Miguélez-Pan, M, Peña-Casanova, J.; Poudevida, S.;Farré, M.; Pacifici, R.;Böhm, P.; Abanades, S.; Verdejo-García, A.; Langohr, K, Zuccaro, P.; de la Torre R.Cognitive performance in recreational ecstasy polydrug users: a two-year follow-up

study.  J. of Psychopharmacology,22(5), 498–510, 2008.

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De Sola, S.; Tarancon, T.; Peña-Casanova, J.; Espadaler, J.M.; Langohr, K.; Poudevida,S.; Farré, M.; Verdejo, A;. de la Torre R. Auditory event related potentials (P3) andcognitive performance in recreational Ecstasy polydrug users: evidence from a 12month longitudinal study. Psychopharmacology, 200, 425–437, 2008.

Duñó, R.; Pousa, E.; Miguélez, M.; Langohr, K.; Tobeña, A. Poor Premorbid

Adjustment and Dysfunctional Executive Abilities Predict Theory of Mind Deficitsin Stabilized Schizophrenic Outpatients. Clinical Schizophrenia & Related 

Psychoses, 2 (3), 205–216,.2008.Duñó, R.;. Pousa, E.; Miguélez, M.; Ruiz, A.; Langohr K., Tobeña A. Ajuste

 premórbido pobre vinculado al deterioro en habilidades de teoría de la mente: estudioen pacientes esquizofrénicos estabilizados.   Revista de Neurología, 47, 242–246,2008.

Faulín, J.; Juan,A. A.; Serrat, C.; Bargueño, V. Complex system availability usingdiscrete event simulation.   Reliability Engineering and Safety Systems, 93, 1761-1771, 2008.

Fumaz, C.R.; Muñoz-Moreno, J.A.; Ballesteros, A.L.; Paredes,R.; Ferrer, M.J.; Salas,

A.; Fuster, D.; Masmitjà, E.; Pérez-Álvarez, N.; Gómez, G.; Tural, C. and Clotet, B.Influence of the type of pegylated interferon on the onset of depressive andneuropsychiatric symptoms in HIV-HCV coinfected patients.   AIDS Care, 19 (1),138–145, 2007.

Fumaz, C R; Muñoz-Moreno, J. A.; Moltó, J.; Ferrer, M. J.; López-Blázquez, R.; Negredo E.;, Paredes, R.; Gómez, G.; Clotet, B. Sustained antiretroviral treatmentadherence in survivors of the pre-HAART era: attitudes and beliefs.  AIDS  Care,20(7), 796-805, 2008.

Fumaz, C.R.; Muñoz-Moreno, J. A.; Moltó, J.; Negredo, E.; Ferrer, M.J.; Sirera,G.;.Pérez-Álvarez, N.; Gómez, G.; Burger D.; Clotet, B. Long–term neuropsychiatricdisorders on efavirenz–based approaches. Quality of life, psychological sigues andadherence. J. of Acquired Immune Deficiency Syndromes, 38 (5), 560–565, 2005.

Fuster, D.; Huertas, J.; Gómez, G.; Solà, R.; González, J.; Vilaró, J.; Pedrol E.; Force,L.; Tor, J.; Sirera, G.; Videla, S.; Planas, R.; Clotet, B. and Tural, C. for thePEGTOX Research Group. Baseline factors associated with haematological toxicitythat leads to a dosage reduction of pegylated interferon-α 2a and ribavirin in HIV-and HCV- coinfected patients on HCV antiviral therapy. Antiviral Therapy, 10, 841– 847, 2005.

Garitta, L.V.; Serrat, C.; Hough G.E; CuriaJ, A.V; Determination of OptimumConcentrations of a Food Ingredient Using Survival Analysis Statistics.   J. of Food 

Science, 2006.

Hough, G.E.; Calle, M.L.; Serrat C.; Curia A.V. Number of consumers necessary for shelf-life estimations based on survival analysis statistics.   J. of Food Quality and 

Preference, 18, 771–775, 2007.Hough, G.; Garitta, L.; Gómez, G. Sensory shelf life predictions by Survival analysis

accelerated storage models. Food Quality and Preference, 17(6), 468– 473, 2006.Juan, A.A; Faulín, J.; Serrat, C.; Gargueño, V. Using simulation to determine reliability

and availability of telecommunication networks.   European J. of Industrial

 Engineering, 1, 131–151, 2007 .Juan, A.; Faulin, J.; Serrat, C.; Sorroche, M.; Ferrer, A. A Simulation-based Algorithm

to Predict Time-dependent Structural Reliability.   Advances in Simulation for 

Production and Logistics Applications, 555-564, 2008.

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Juan, A.; Huertas, M.A.; Serrat, C. ; Córcoles, C.; Steegmann. C. Mathematical E-Learning: Trends and Experiences at the Open University of Catalonia.  International

 J. of Mathematical Education, Science and Technology, In press 2008.Juan, A.; Huertas, M.; Steegmann, C.; Corcoles, C.; Serrat, C. Mathematical E-

Learning: state of the art and experiences at the Open University of Catalonia.

  International J. of Mathematical Education in Science and Technology, 39(4), 455-471, 2008.Julià, O., Vives-Rego, J. A microbiology application of the skew-Laplace distribution.

SORT , in press, 2008.Julià, O. Vives-Rego, J. Skew-Laplace distribution in Gram-negative bacterial axenic

cultures: new insights into intrinsic cellular heterogeneity.  Microbiology, 151, 749-755 , 2005.

Khymenets, O.; Covas, M.; Farré, M.; Langohr, K.; Fitó, M.; de la Torre, R. Role of sexand time of blood sampling in SOD1 and SOD2 expression variability. Clinical

 Biochemistry, doi:10.1016/ j.clinbiochem.2008.08.064, 2008.Langohr, K.; Gómez, G. Likelihood Maximization Using Web–Based Optimization

Tools: A short tutorial. The American Statistician. 59 (2), 92–202. 2005.Muga, R., Ferrero, I.; Langohr, K.; García Olalla, P.; del Romero, J.; Quintana, M;.

Alastrue, I.; Belda, J.; Tor, J.; Pérez-Hoyos, S. del Amo J. and the SpanishMulticenter Study Group of Seroconverters (GEMES). Changes in the incidence of tuberculosis in a cohort of HIV-seroconverters before and after the introduction of HAART.  AIDS, 21 (18), 2521-2527, 2007.

Muga, R.; Langohr, K.; Tor, J.;Sanvisens, A.; Serra, I.; Rey-Joly, C; Muñoz, A.Survival of HIV-Infected Injection Drug Users (IDUs) in the Highly ActiveAntiretroviral Therapy Era, Relative to Sexand Age-Specific Survival of HIV-Uninfected IDUs. Clinical Infectious Diseases, 45, 370-376, 2007.

Muga, R.; Sanvisens, A.; Bolao, F.; Tor, J.; Santestmases, J;. Pujol, R.; Tural, C.;Langohr, K.; Rey-Joly C.; Muñoz, A. Significant reductions of HIV prevalence butnot of hepatitis C virus infections in injection drug users from metropolitanBarcelona: 1987—2001. Drug and Alcohol Dependence, 82, S29-S33, 2006.

Oller, R.; Gómez, G.; Calle, M.L. Interval Censoring: Identifiability and the constantsum property. Biometrika, 94 (1), 61–70, 2007.

Pacifici, R.; Zuccaro, P.; Farré, M.; Poudevida, S.; Abanades, S.; Pichini, S; Langohr,K; Segura J.; de la Torre R. Combined immunomodulating properties of 3,4-methylene\-dioxymethamphetamine (MDMA) and cannabis in humans.  Addiction

 Biology, 102, 931-936, 2007.Ruiz, L.; Paredes, R.; Gómez, G.; Romeu, J.; Domingo, P.; Pérez-Álvarez, N.;

Tambussi, G; Llibre, J.M.; Martinez-Picado, J.; Vidal, F.; Fumaz C.R; Clotet, B. andthe TIBET Study Group. Antiretroviral Therapy Interruption Guided by CD4 cellCounts and Plasma HIV-1 RNA Levels in Chronically HIV-1 Infected patients.

 AIDS, 21(2), 169–178, 2007.Salvador, A.; Varela, P.; Fiszman, S.M.; Gómez, G. Estimating the Shelf Life of Brown

Pan Bread, Suitability of Survival Analysis Methodology.   J. of Food Science, 71,321–325, 2006.

Sánchez, A.; Domingo, A.; Gómez, G.; Brugal, M.T.; Scalia, G. Two methods toanalyze trends in the incidence of heroin and cocaine use in Barcelona. Gaceta

Sanitaria, 21 (5), 397–403. 2007.Serrat .C.; Gómez, G. Nonparametric bivariate estimation for successive survival times.

SORT , 31, 75–96, 2007.

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Ventura, M.; Pichini, S.; Pujadas, M.; Ventura, R.; Di Giovannandrea, R.; Zuccaro, P.;Pacifici, R.; Langohr, K.; Jurado, C.; de la Torre, R. Four Years' Experience inExternal Proficiency Testing Programs for Hair Testing of Drugs of Abuse in Italy(HAIRVEQ) and Comparison With the Society of Hair Testing Program in 2005.Therapeutic Drug Monitoring , 29, 11-19, 2007.

Ventura, M., Stramesi, C.; Pichini, S.; Ventura R.; Pujadas-Bastardes, M.; diGiovannandrea, R. Zuccaro, P.; Pacifici, R.; Langohr, K; de la Torre, R. HAIRVEQ2006: Evolution of laboratories’ performance after different educational actions.Forensic Science International, 176, 2–8, 2008.

Balanyà, J.; Oller, J.M.; Huey R.B.; Gilchrist, G:W; Serra, L. Global Genetic ChangeTracks Global Climate Warming in Drosophila subobscura. Science, 313, 1773-1775, 2006.

Colomer, A.; Erill, N.; Vidal, A:, Calvo, M.; Cordón-Cardo, C.; Puig, X. A novellogistic regression based in clinicopathological features predict microsatelliteinstability in colorectal carcinomas.   Diagnostic Molecular Pathology, 14, 213-223,2005.

Cuadras, C. M., Cuadras, D., Greenacre, M. A comparison of different methods for representing categorical data. Comm. in Statistics-Simul. and Comp., 35 (2), 447-459,2006.

Cuadras. C. M., Cuadras, D. A parametric approach to correspondence analysis.  Linear 

 Algebra and its Applications, 417, 64-74, 2006.Cuadras, C. M, Cuadras, D., Lahlou, Y. Principal directions for the general Pareto

distribution. J. of Statistical Planning and Inference, 136, 2572-2583, 2006.Cuadras, C. M. The importance of being the upper bound in the bivariate family. SORT ,

30, 55-84, 2006.Cuadras, C. M. Continuous canonical correlation analysis.   Research Letters in

 Information and Mathematical Sciences, 8, 97-103, 2005.Cuadras, C. M., Cuadras, D. Eigenanalysis on a bivariate covariance kernel.   J. of 

 Multivariate Analysis, 99 (10), 2497-2507, 2008.Cuadras, C. M. Usos i abusos de l'Estadística. Omnis Cellula, 8, 52-57, 2005.Cuadras, C. M. La Estadística, un instrumento para el progreso de la sociedad.  Boletín

de la SEIO, 22 (1), 29-38, 2006.Cuadras, C. M. Algunas paradojas y curiosidades de la estadística.  Boletín de la SEIO,

23 (1), 24-29, 2007.Cuadras, C. M. Respuestas a algunas paradojas y curiosidades estadísticas.  Boletín de

la SEIO, 23 (2), 14-21, 2007.De Cáceres, M., Oliva, F., Font, X. On relational possibilistic clustering. Pattern

 Recognition, 39, 2010-2024, 2006.Erill, N.; Colomer, A.; Calvo, M.; Cordón-Cardo, C.; Puig, X. A novel multiplexingPCR-based assay for the analysis of chromosome 18q status in colorectal cancer.  J.

of Molecular Diagnostics, 7, 478-485, 2005.García, G.; Oller, J. M. On the Smoothness of Projections in Statistical Models.

Communications in Statistics-Theory and Method s, 35, 8, 1375-1385, 2006.García, G.; Oller, J. M. What does intrinsic mean in statistical estimation? (with

discussants: J. Burbea, J. del Castillo, W. S. Kendall, S.T. Smith), SORT , 32, 125-172, 2006.

Salicrú, M.; Vives S.; Ocaña J. Testing the Homogeneity of Diversity Measures: Ageneral framework. J. of Statistical Planning and Inference, 132, 127-139, 2005.

Vilardell, M., Sánchez A. Hypothesis testing approaches to the exon prediction problem. Bioinformatics, 22, 3003-3008, 2006.

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Sánchez, A.; Salicrú, M.; Ocaña J. Statistical methods for the analysis of highthroughput data based on functional profiles derived from the gene ontology.  J.

of Statistical Planning and Inference, 137, 3975-3989, 2007.Verdú, M; Colomer, A.; Calvo, M.; Cordón-Cardo, C.; Puig, X. Protocolo de estudio

molecular del oncogén Her2/neu en el carcinoma de mama. Oncologia, 7, 7894-

7896, 2006.del Castillo, J., Perez-Cassany. M. Overdispersed and Underdispersed PoissonGeneralizations.  J. of Statistical Planning and Inference,134, 486-500, 2005.

del Castillo, J., López, A. Saddlepoint approximation in exponential models with boundary points.  Bernoulli, 12 (1), 1-10, 2006.

del Castillo, J. . Discussion on the meeting on “Double hierarchical generalized linear models, by Y.Lee and J.A.Nelder.   J. of the Royal Statistical Society, Series C , 55(2), 174-175, 2006.

del Castillo, J. Discussion contribution to “What does intrinsic mean in statisticalestimation ? ” by Gloria García and Josep M. Oller. SORT . 30(2): 125-170, 2006.

del Castillo, J. Espinal, A. and Puig, P. (eds). Proceedings of the 22nd Internacional

Workshop on Statistical Modelling. Barcelona, July 2-6, 2007.del Castillo, J. and Lee, Y. GLM-methods for volatility models. Statistical Modelling.

8(3), 263-283, 2008.Grané, A.; Fortiana, J. An Adaptive Goodness-of-fit test. Comm. in Statistics Part A-

Theory and Methods. 35 (6), 1141-1155, 2006.Boj, E.; Claramunt, M.; Fortiana, J. Selection of Predictors in Distance-Based

Regression. Comm. in Statistics Part B-Simulation and Computation, 36, 87-98, 2007.Boj, E.; Grané, A; Fortiana, J.; Claramunt, M.M. Implementing PLS for Distance-Based

Regression: Computational issues. Computational Statistics, 22, 237-248, 2007.Boj, E.; Claramunt, M.M.; Fortiana, J. Análisis multivariante aplicado a la selección de

factores de riesgo en la tarificación. Cuadernos Actuariales, 3, 18-22, 2005.Boj, E.; Claramunt, M.M. Tarificación a priori sobre el número de siniestros:

aplicación a la cobertura de daños materiales del seguro obligatorio del automóvil deuna cartera real española. Cuadernos Actuariales, 9. 28-47, 2005.

Boj, E.; Claramunt, M.M.; Fortiana, J.; Vegas, A. Bases de datos y estadísticas delseguro de automóviles en España. Influencia en el cálculo de primas.  Estadística

 Española, 47, 539-566, 2005.Grané, A.; Fortiana, J. Karhunen-Loève basis in goodness-of-fit tests decom-position:

an evaluation. Comm. in Statistics Part A-Theory and Methods, 37 (19), 3144 -3163 ,2008

Salicrú, M., Vives, S. and Ocaña, J. Testing the homogeneity of diversity measures: a

general framework.  J. Statistics Planning and Inference, 132, 117-129, 2005.Vives, S. and Salicrú, M. (2005). A note about the quantitative minimal from thediversity/area curve.  Mathematical Biosciences. 195, 65-75, 2005.

Vives, S., Loucas, B., Vazquez, M., Brenner, D.J., Sachs, R.K., Hlatky, L., Cornforth,M. and Arsuaga, J. (2005). SCHIP: statistics for chromosome interphase positioning

 based on interchange data. Bioinformatics., 21 (14), 3181-3182, 2005.Bonada N., Vives, S., Rieradevall, M. and Prat, N. Relationship between pollution and

fluctuating asymmetry in the pollution-tolerant caddisfly Hydropsyche exocellata(Trichoptera, Insecta). Archiv für Hydrobiologie, 162(2), 167-185, 2005.

Irigoien, I., Fernandez, E., Vives, S. and Arenas, C. (2006). CLAPPER: A clusteringalgorithm based on path-distances for experimental replicates.   Advances and 

 Applications in Statistics, 6(3), 377-398, 2006.

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Irigoien, I., Arenas, C. INCA: New statistic for estimating the number of clusters andidentifying atypical units. Statistics in Medicine, 27, 2948-2973, 2008.

Cuadras, C. M. Geometric variability, weighted metric scaling and parametriccorrespondence analysis. First joint meeting of the Société Francophone de

Classification and the Classification and Data Analysis Group of the Italian

Statistical Society. Edizione Scientifiche Italiani, Caserta, pp. 257-260, 2008De Cáceres, M. Oliva, F., Font, X. and Vives, S. GINKGO, a program for non-standardmultivariate fuzzy analysis. Advances in Fuzzy Sets and Systems, 2 (1), 41-56, 2007.

Vilardell, M., Vives, S., Lozano, J., Cuscó, I., González, E., García, M., Sumoy, L. andPérez-Jurado, L.A. Statistical assessment of sources of systematic variation in aCGHexperiments. JP.  J. of Biostatistics, 2 (2), 111-140, 2008.

Irigoien, I., Fernandez, E., Vives, S., and Arenas, C. Glum: A cluster program for analyzing microarray data. Genetika. 44 (8), 993-996. 2008.

Vives, S., Gilbert, M., Arenas, C., Gigli, E., Lao, O., and Lalueza-Fox, C. Statisticalanalysis of post mortem DNA damage-derived miscoding lesions in Neandertalmitochondrial DNA.  BMC Research Notes, 1, 1-40, 2008.

Puig, P. A note on the harmonic law: A two-parameter family of distributions for ratios.Statistics and Probability Letters, 78, 320-326, 2008.

Mateu-Figueras, G., Puig, P. and Pewsey, A. Goodness-of-fit tests for the skew-normalDistribution when the Parameters are Estimated from the Data. Comm. in Statistics.

Theory and Methods., 36, 1735-1755, 2007.Puig, P. and Valero, J. Characterization of count data distributions involving additivity

and binomial subsampling. Bernoulli, 13, 544-555, 2007.Puig, P. and Valero, J. Count data distributions: some characterizations with

applications. J. of the American Statistical Association, 101, 687-692, 2006.Damilano, G., Puig, P. A note on the Hodges-Lehmann estimator and the logistic

distribution. Comm. in Statistics. Theory and Methods., 35, 257-261, 2006.Puig, P. and Stephens, M. A. Goodness of fit tests for the skew-Laplace distribution.

SORT , 31, 45-54, 2007.Calsamiglia, M.; Segal´es, J.; Fraile, L.; Espinal, A.; Cuxart, A.; Semiati, C.; Martin,

M.; Mateu, E. and Domingo, M. Sow effect on litter mortality in a swine systemexperiencing postweaning multisystemic wasting syndrome (PMWS).   Research in

Veterinary Science, 82, 299-304, 2007.Sibila, M.; Nofrar´ıes, M.; L´opez-Soria, S.; Segal´es, J.; Valero, O.; Espinal, A.;

Calsamilglia, M. Chronological study of Mycoplasma hyopneumoniae infection,seroconversion and associated lung lesions in vaccinated and non-vaccinated pigs,Veterinary Microbiology, 122, 97-107., 2007.

Bayés, B.; Granada, M.L.;Pastor, M.C.; Lauzurica, R.; Salinas, I.; Sanmartí, A.;Espinal, A.; Serra, A.; Navarro, M.; Bonal, J. and Romero, R. Obesity, adiponectinand inflammation as predictors of newonset diabetes mellitus after kidneytransplantation. American J. Transplantation, 6, pp. 1-7, 2006.

Prieto, J.; Atala, J.; Blanch, J.; Carreras E., Rovira, M.; Cirera, E.; Espinal, A., andGasto, C. Role of Depression As a Predictor of Mortality Among Cancer PatientsAfter Stem-Cell, Transplantation. J. of Clinical Oncology:, 25, 6063-6071, 2005.

Bech, J., Tume, P., Longan, L., Reverter, F., Bech, J., Tume, L., and Tempio, M.Concentration of Cd, Cu, Pb, Zn, Al, and Fe in soils of Manresa, NE Spain.

 Environmental Monitoring and Assessment , 145: 257-266, 2008.

Monleón T, Ocaña J. La simulación como herramienta de optimización de lainvestigación clínica. Medicina Clínica 127(18), 702-704, 2006.

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Djebali, S.; Kapranov, P.; Foissac, S.; Lagarde, J.; Reymond, A.; Ucla,C.; Wyss,C.; Drenkow, J.; Dumais, E.; Murray, R.R.; Lin, C.; Szeto, D.; Denoeud, F.; Calvo,M.; Frankish, A.; Harrow, J.; Makrythanasis, P.; Vidal, M.; Salehi-Ashtiani, K.;Antonarakis, S.E.; Gingeras, T.R.; Guigó, R. Efficient targeted transcript discoveryvia array-based normalization of RACE libraries.   Nature Methods, 5 (7), 629- 635,

2008.Monleon T, Crespo C, Rodriguez-Barrios JM, Ocaña J. Improving probabilistic

sensitivity analysis (PSA) in the treatment of uncertainty costs using MCMC. Value in

 Health, 11(6) A562, 2008.

Capítulos de libros

Calle, M.L.; Gómez, G. A sampling based chi–squared test for interval– Invest.censored data en Statistical Models and Methods for Biomedical and TechnicalSystems. (Eds: F. Vonta, M.S. Nikulin,

Cuadras, C. M. First principal component characterization of a continuous randomvariable. In:   Advances on Models, Characterizations and Applications (N.Balakrishnan, I. Bairamov and O. Gebizlioglu, Eds.). Chapman & Hall/CRC-Press,

 New York, pp. 189-199, 2005.Cuadras, C. M. Distance-based multisample tests for multivariate data. In:  Advances in

  Mathematical and Statistical Modeling, (B.C.; Balakrishnan, N.; Sarabia, J.M.;Mínguez, R. Eds.), Birkhauser, Boston, 61-71, 2008.

del Castillo, J., Daoudi. J. Volatility control on the tails of returns. In: Proceedings of 

the 21th International Workshop on Statatistical Modelling, Hinde, J. Einbeck, J. and Newell, J. (Eds), pp 102-106. Galway, 2006.

Reverter, F.; Calvo, M.; Oller, J. M. Numerical computation of the Rao distance

  between Multivariate Normal distributions. In: ICNAAM  2005, T.E. Simos, G.Psihoyios and Ch. Tsitouras (Eds.) Wiley-VCH, 460-463, 2005.Sánchez, A., Mosquera, J. L. The quest for Biological Significance. Mathematical

Modelling, Analysis and Simulation of Problems. Mathematics in Industry. Subseries

The European Consortium for Mathematics in Industry. Springer-Verlag Heidelberg,2007.