David Moriña Soler

at BGSMath - UAB
Research area: Statistics / Mathematical Modelling


David Moriña Soler, Msc, PhD is mathematician and statistician.

His area of interest is focused in mathematical modelling applied to health sciences, especially in the handling and analysis of longitudinal data, specifically time series data. He has broad experience in the design, development and analysis of clinical trials and epidemiological studies-working in several research centres, including the Technological Center in Nutrition and Health (CTNS), the Centre for Research in Environmental Epidemiology (CREAL) and the Catalan Institute of Oncology, developing new models for cancer research.

He joined BGSMath - UAB in 2018, working on the development of new mathematical and statistical models with applications to cancer epidemiology.

Selected publications

Moriña, D., Fernández-Castillejo, S., Valls, R. M., Taltavull, N., Romeu, M., Giralt, M., Montero, M., Bernal, G., Faba, J., Pérez, L., González, R., Casajuana, M. C., Rodríguez, A., Arola, Ll., Puiggròs, F., Möller, I., Chetrit, C., Martinez-Puig, D., Solà, R. Effectiveness of a low-fat yoghurt supplemented with rooster comb extract on muscle strength in adults with mild knee pain and mechanisms of action on muscle regeneration. Food & Function 9(6):3244-3253 (2018).

Moriña, D., de Sanjosé, S., Díaz, M. Impact of model calibration on cost-effectiveness analysis of cervical cancer prevention.  Scientific Reports 7(1) (2017).

Navarro, A., Casanovas, G., Alvarado, S., Moriña, D. Potential problems in the analysis of recurrent events when the number of previous episodes is unknown. Gaceta Sanitaria 31(4):342-345 (2017).

Moriña, D., Grellier, J., Carnicer, A., Pernot, E., Ryckx, N., Cardis, E. InterCardioRisk: A novel online tool for estimating doses of ionising radiation to occupationally-exposed medical staff and their associated health risks. Journal of Radiological Protection 36(3):561-578 (2016).

Fernández-Fontelo, A., Cabaña, A., Puig, P., Moriña, D. Under-reported data analysis with INAR-hidden Markov chains. Statistics in Medicine 35(26):4875-4890 (2016).