Dr Federico Andreis

Lecturer Statistician

Health Sciences Stirling E16 Pathfoot Building, Stirling

Contact details

Email federico.andreis@stir.ac.uk
Telephone+44 (0)1786 466252

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About me

I have a Master degree in Statistics from the Catholic University in Milan, Italy and a PhD in Statistics with concentration in Epidemiology from the University of Milan-Bicocca, Italy. I am interested in the development and application of quantitative methods to health research, with a specific focus on linking official registers data to external environmental and socio-economic auxiliary information, to inform sampling strategies and modelling.

Research

My research interests include finite population sampling - particularly with reference to epidemiological, public health and environmental applications - and data mining and modelling of electronic health records and questionnaire data. I have been working with more traditional statistical methods (item response theory models, generalised linear mixed models, discrete-margins copulas) and more recent statistical/machine learning paradigms. I am willing to supervise PhD students on the following areas:

finite population sampling theory and applications (adaptive sampling, health surveys, environmental sampling)
spatio-temporal modelling of health data (breast cancer screening compliance, environmental and social determinants of health)
development of statistical methods for the analysis of chronic diseases for public health purposes.

Outputs

Article

Evaluating emotional distress and health-related quality of life in patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model

Thomson P, Howie K, Leslie SJ, Angus NJ, Andreis F, Thomson R, Mohan ARM, Mondoa C & Chung ML (2020) Evaluating emotional distress and health-related quality of life in patients with heart failure and their family caregivers: Testing dyadic dynamics using the Actor-Partner Interdependence Model. PLOS ONE, 15 (1), Art. No.: e0227129. https://doi.org/10.1371/journal.pone.0227129

Article

On the role of weights rounding in applications of resampling based on pseudopopulations

Andreis F, Conti PL & Mecatti F (2019) On the role of weights rounding in applications of resampling based on pseudopopulations. Statistica Neerlandica, 73 (2), pp. 160-175. https://doi.org/10.1111/stan.12145

Policy Document

Scottish Ambulance Service New Clinical Response Model

Stoddart K, Cowie J, Robertson T, Bugge C, Andreis F & Donaldson J (2019) Scottish Ambulance Service New Clinical Response Model. University of Stirling. Stirling. https://www.stir.ac.uk/research/public-policy-hub/policy-briefings/

Research Report

The Scottish Ambulance Service New Clinical Response Model Evaluation Report

Stoddart K, Cowie J, Robertson T, Bugge C, Donaldson J & Andreis F (2019) The Scottish Ambulance Service New Clinical Response Model Evaluation Report [NCRM report for SAS]. Scottish Ambulance Service. Stirling: University of Stirling. https://scottishamb-newsroom.prgloo.com/news/scottish-ambulance-service-clinical-model-credited-with-saving-43-percent-more-lives

Conference Proceeding

Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach

Andreis F, Furfaro E & Mecatti F (2018) Methodological perspectives for surveying rare and clustered population: towards a sequentially adaptive approach. In: Perna C, Pratesi M & Ruiz-Gazen A (eds.) Studies in Theoretical and Applied Statistics. SIS 2016. Springer Proceedings in Mathematics & Statistics, 227. 48th Scientific Meeting of the Italian Statistical Society, SIS 2016, Salerno, Italy, 08.06.2016-10.06.2016. Cham, Switzerland: Springer, pp. 15-24. https://doi.org/10.1007/978-3-319-73906-9_2

Article

A proposal for a two-step sampling design to oversample units responding to prescribed characteristics

Andreis F & Bonetti M (2018) A proposal for a two-step sampling design to oversample units responding to prescribed characteristics. Environmental and Ecological Statistics, 25 (1), pp. 139-154. https://doi.org/10.1007/s10651-017-0396-9

Dr Federico Andreis

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About me

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