Andreella, A., Monasta, L., Campostrini, S. (2025), Analyze Multimorbidity Compression in Italy as a Latent Trait into a Mixed Mixture Model. Population Health Metrics. https://doi.org./10.1186/s12963-025-00421-w
Andreella, A., Finos, L., Scarpa, B. and Stocchero, M. (2025), Toward Power Analysis for Partial Least Squares-Based Methods. Biometrical Journal., 67: e70050. https://doi.org/10.1002/bimj.70050
Kovacs, N., Mahrouseh, N., Monasta, L., Andreella, A., Campostrini, S., and Varga, O. (2025). The diabetes mellitus comorbidity index in European Union member states based on the 2019 European Health Interview Survey. Scientific Reports, 15(1), 512.
Andreella, A., Goeman, J., Hemerik, J., and Finos, L. (2025). Robust inference for generalized linear mixed models: a two-stage summary statistics approach based on score sign flipping. Psychometrika, 1-42.
Andreella, A., Aliverti, E., Caldura, F., and Campostrini, S. (2024), Spatial clusters for demand and supply of early childhood education and care services in Italy. Socio-Economic Planning Sciences, 95, DOI: 10.1016/j.seps.2024.102034
Andreella, A., Vesely, A., Wouter, W., and Goeman, J. 2024. Selective inference for fMRI cluster-wise analysis, issues, and recommendations for template selection: A comment on Blain et al, Imaging Neuroscience, 2: 1–7, DOI: 10.1162/imag_a_00198
Andreella, A., Monasta, L., and Campostrini, S. 2023. A novel definition of Italian comorbidity based on diseases detected by the surveillance system PASSI and the Global Burden of Diseases disability weights. Population Health Metrics, DOI: 10.1186/s12963-023-00317-7
Andreella, A., Mira, A., Balafas, S., Wit, E. C., Ruggeri, F., Nattino, G., Ghilardi, G., and Bertolini, G. 2023. A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy. Statistical Methods & Applications, DOI: 10.1007/s10260-023-00725-x
Andreella, A., Finos, L., Weeda, W., Hemerik, J., and Goeman, J. 2022. Permutation-based true discovery proportions for fMRI cluster analysis. Statistics in Medicine, DOI: 10.1002/sim.9725 LINK
Andreella, A., De Santis, R., Vesely, A. and Finos, L. 2022. Procrustes-based distances for exploring between-matrices similarity, Statistical Methods & Applications, DOI: 0.1007/s10260-023-00689-y LINK
Andreella, A., Finos, L., and Lindquist, M. 2022. Enhanced hyperalignment via spatial prior information. Human Brain Mapping Link
Andreella, A., and Livio Finos. 2022. Procrustes analysis for high dimensional data. Psychometrika. Link
Pigoni, A., Delvecchio, G., Dusi, N., Schiena, G., Andreella, A., Finos, L., Cecchetto, F., Perlini, C., Rossetti, M. G., Ferro, A., Bellani, M., Lasalvia, A., Ruggeri, M., and Brambilla, P. 2022. Insula volumes in first-episode and chronic psychosis: A longitudinal MRI study. Schizophrenia Research Link
Zandonella Callegher, C., Bertoldo, G., Toffalini, E., Vesely, A., Andreella, A., Pastore, M., e Altoe, G. 2021. PRDA: An R package for Prospective and Retrospective Design Analysis. Journal of Open Source Software, 6(58), 2810, ISSN: 2475-9066 Link
Ciappolino, V., DelVecchio, G., Prunas, C., Andreella, A., Finos, L., Caletti, E., Siri, F., Mazzocchi, A., Botturi, A., Turolo, S., Agostoni, C. e Brambilla, P. 2020. The Effect of DHA Supplementation on Cognition in Patients with Bipolar Disorder: An Exploratory Randomized Control Trial. Nutrients Link
Delvecchio, G., Caletti, E., Perlini, C., Siri, F. M., Andreella, A., Finos, F., Bellani, M., Fabbro, F., Lasalvia, A., Bonetto, C., Cristofalo, D., Scocco, P., D’Agostino, A., Torresani, S., Imbesi, M., bellini, F., Veronese, A., Bressi, V., e Brambilla, P. 2019. Altered syntactic abilities in first-episode patients: An inner phenomenon characterizing psychosis. European Psychiatry Link
Caletti, E., Delvecchio, G., Andreella, A., Finos, L., Perlini, C., Tavano, A., Lasalvia, A., Bonetto, C., Cristofalo, D., Lamonaca, D., Ceccato, C., Pileggi, F., FaustoMazzi, F., Santonastaso, P., Ruggeri, M., Bellani, M., and Brambilla, P. 2018. Prosody abilities in a large sample of affective and nonaffective first episode psychosis patients. Comprehensive Psychiatry doi: 10.1016/j.comppsych.2018.07.004, 86, 31-38 Link
Andreella, A., Finos, L. 2025. Blockwise Resampling for Robust Fixed Effects Inference in Linear Mixed Models. Book of Short Papers SIS 2025, 10.1007/978-3-031-96303-2_8
De Santis, R., Vesely, A., Andreella, A. 2025. Closed-Based Testing When Multiple Quantile Regressions are Fitted. Book of the Short Papers SIS 2025, 10.1007/978-3-031-95995-0_21
Andreella, A., Campostrini, S. 2024. Analyzing Compression of Comorbidity in Italy: A Mixture Model with Regional Random Effects. Book of the Short Papers SIS 2024, ISBN 9783031643453
Andreella, A., Campostrini, S., Caldura, F., Bertarelli, G. 2024. A two-step model to analyze the inclusivity’s distribution of Italian childcare services. Book of the Short Papers SIS 2024, ISBN 9783031643453
Ferraccioli, F., Finos, L., Andreella, A.. 2024. A nonparametric test for fixed effects in crossed random effect models Book of the Short Papers SIS 2024, ISBN 9783031643453
Andreella, A., Campostrini, S. 2024. Work realities and behavioral risk factors in Italy. Proceedings of the 6th International Conference on Advanced Research Methods and Analytics (CARMA 2024), 390–398, DOI: 10.4995/CARMA2024.2024.19017
Andreella, A., Campostrini, S. 2023. Suitable statistical approaches for novel policies: spatial clusters of childcare’s services in Veneto, Italy. Proceedings of the 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023), 205–212, ISBN: 9788413960869
Andreella, A., Monasta, L., Campostrini, S. 2023. A novel definition of comorbidity based on the Global Burden of Diseases project weights. Book of the Short Papers SIS 2023, 566–571, ISBN 9788891935618
Vesely, A., and Andreella, A.. 2023. How active is a genetic pathway? Comparative analysis of post-hoc permutation-based methods. Book of the Short Papers SIS 2023, 1268–1273, ISBN 9788891935618
Andreella, A., De Santis, R. and Finos, L. 2022. Valid inference for group analysis of functionally aligned fMRI images. Book of Short Papers SIS 2022, 1987–1992, ISBN: 9788891932310
Vesely, A., Andreella, A., Goeman, J., Finos, L. 2022. Resampling-Based Inference for High-Dimensional Regression. Book of Short Papers SIS 2022, 1327–1332, ISBN: 9788891932310
Vesely, A., Finos, L., Goeman, J. J., and Andreella, A. 2021. Valid Double-Dipping via Permutation-Based Closed Testing. Book of Short Papers SIS 2021, ISBN: 9788891927361
Andreella, A. and Finos, L. 2021. Functional alignment by the light approach of the von Mises-Fisher-Procrustes model. Book of Short Papers SIS 2021, ISBN: 9788891927361
Andreella, A. and Finos, L. 2020. A Statistical Approach to the Alignment of fMRI Data. Book of Short Papers SIS 2020, ISBN: 9788891910776
Andreella, A., Campostrini, S., Caldura, F., Bertarelli, G. 2024. A two-step model to analyze the inclusivity’s distribution of Italian childcare services major revision JRSSA
Stival, M., Andreella, A., Bertarelli, G., Midoes, C., Tonellato, S., De Cian, E., Campostrini, S., 2025. The Perceived Influences of Environment on Health in Italy: a Penalized Ordinal Regression Approach submitted
Xu, N., Solari, A., Vesely, A., Andreella, A., Goeman, J. 2024. Improve Permutation-based All-Resolution Inference by A Branch and Bound Algorithm [submitted]
Stival, M, Andreella, A., Schiavon, L. 2024. Topic-informed dynamic mixture model for occupational heterogeneity in health risk behaviors major revision SIM
Ferraccioli, F., Finos, L., Andreella, A. 2024. A nonparametric test for fixed effects in crossed random effect models [working paper]
Andreella, A., Finos, L., 2026 Multivariate mixed models with model-free random effects submitted
De Santis, R., Vesely, A., Andreella, A. 2026. Inference on multiple quantiles in regression models by a rankscore approach submitted
Andreella, A., Bertarelli, G., Pittavino, M. 2026. Functional Inference for Assimilation Effects: Evidence from Migrants’ Mental Health in Italy [working paper]
Vesely, A., Andreella, A. 2026. Post-Selection Inference for Multiverse Analysis in Mixed-Effects Models (PIMAX) [submitted]