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ANNAMARIA GUOLO

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Position

Professoressa Associata

Structure

Dipartimento di Scienze Statistiche

Address

VIA CESARE BATTISTI, 241/243 - PADOVA

Telephone

E-mail

annamaria.guolo@unipd.it

Annamaria Guolo received her PhD in Statistics at the University of Padova in 2006. From 2006 to 2008 she has been Research Associate at the Department of Statistics of the University of Padova. From October 2008 to February 2015, she has been Assistant Professor in Statistics at the University of Verona. Since March 2015, she is Associate Professor in Statistics at the University of Padova.

Her main research interests involve meta-analysis, measurement error correction techniques, likelihood inference and higher-order asymptotics, development of statistical software using R.

She is member of the Royal Statistical Society, of the American Statistical Association and of the Institute of Mathematical Statistics.

Since 2015, she serves as Associate Editor for the International Journal of Biostatistics.
Since 2018, she serves as Associate Editor for BMC Medical Research Methodology.

Notices

Office hours

  • Thursday from 9:00 to 10:30
    at Dipartimento di Scienze Statistiche, ufficio n. 161
    Orario valido da ottobre a dicembre 2023. Contattare via mail la docente per fissare un appuntamento.

  • Tuesday from 9:00 to 10:30
    at Dipartimento di Scienze Statistiche, ufficio n. 161
    Orario valido da ottobre a dicembre 2023. Contattare via mail la docente per fissare un appuntamento.

Teachings

Publications

Some recent publications:

Guolo, A. (2018). Improving likelihood-based inference in control rate regression. Statistics in Medicine, 37, 157-166.

Kosmidis, I., Guolo, A. and Varin, C. (2017). Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression. Biometrika, 104(2): 489-496.

Guolo, A. (2017). A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic studies. BMC Medical Research Methodology, 17:6.

Guolo, A. and Varin, C. (2017). Random-effects meta-analysis: The number of studies matters. Statistical Methods in Medical Research, 26(3): 1500-1518. Highly cited paper according to ’Essential Science Indicators’ database in Web of Science (Thomson Reuters/Clarivate Analytics)

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See the web page at https://homes.stat.unipd.it/annamariaguolo/content/home for the complete list of publications.