Miguel Lafuente Blasco

Miguel Lafuente Blasco

Current positions

I am an Assistant Professor in the Department of Statistical Methods at the University of Zaragoza, and a researcher at Institute for Biocomputation and Physics of Complex Systems (BIFI) .

I am also a member of the Stochastic Models research group recognised by the Government of Aragón (DGA).

I currently co-chair the working group Procesos Estocásticos y sus Aplicaciones (Pres&a) of the Spanish Society of Statistics and Operations Research (SEIO), together with Prof. Gerardo Sanz Sáiz.

Research interests

I hold a PhD in Mathematics and Statistics. My main research line focuses on the probabilistic and statistical properties of record values and record-like observations.

I also collaborate in fields such as gastroenterology, oncology, epidemiology, and the social sciences, using advanced statistical modelling and machine-learning methods.

Miguel Lafuente Blasco

My teaching books

You can download them in Spanish for free.

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Análisis de datos con Jamovi. Guía práctica para la investigación científica

This book grew out of teaching and research needs in health-related programs, but the workflow applies to many fields. It is a step-by-step guide built around jamovi, a user-friendly statistical package that is free and open-source.

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Estadística descriptiva en investigación social con Excel

A practical introduction to descriptive statistics with real social-science data, explained step by step in Excel. It is aimed mainly at sociology and social work, but it also works well as a first contact with data analysis in other areas.

Tools

Research tools and online calculators I developed.

BodyCompAI

BodyCompAI

An online calculator for clinicians, plus a batch mode to predict LST (lean soft tissue) for many patients at once.

disableAI

disableAI

A tool to assess disability inclusion.

HIBOPCovid

HIBOPCovid

Open-source statistical software implementing a multistate modelling approach to forecast hospital and ICU bed occupancy. It supports back-testing on historical periods and can be adapted to planning questions beyond the original COVID-19 setting.

Contact

Email: miguellb@unizar.es