Laura Pagani is an Associate Professor of Statistics in the Department of Statistics at the University of Udine. She graduated in Political Sciences at the University of Milan, and received her PhD in Methodological Statistics from the University of Trento. Her research interest include model for categorical data analysis, Event History Analysis for the analysis of historical demographic data, Multilevel Models, data reduction models for categorical variables (Nonlinear Principal Component Analysis), Rasch models, theory of composite indicators, analysis of social/environmental data, models for evaluation of the efficacy and efficiency.
- Stevanin, S., Bressan, V., Vehviläinen-Julkunen, K., Pagani, L., Poletti, P., Kvist, T. (2017). The Multidimensional Nursing Generations Questionnaire: Development, reliability, and validity assessments. Journal Of Nursing Management, 25(4):287-296, ISSN: 0966-0429, doi: 10.1111/jonm.12465
- Zanarotti M.C., Pagani L. (2015). Some considerations to carry out a composite indicator for ordinal data. Electronic Journal Of Applied Statistical Analysis, 8(3): 382-395, ISSN: 2070-5948, doi: 10.1285/i20705948v8n3p382
- Ferrari, P.A., Pagani, L., Fiorio, C.V. (2011). A Two-Step Approach to Analyze Satisfaction Data. Social Indicators Research, 104(3):545–554, ISSN: 0303-8300, doi: 10.1007/s11205-010-9761-x