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Alessandro Baldi Antognini

Professore ordinario

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA


Alessandro Baldi Antognini; Rosamarie Frieri; William F. Rosenberger; Maroussa Zagoraiou;, Optimal design for inference on the threshold of a biomarker, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2024, 33, pp. 321 - 343 [articolo]Open Access

Alessandro Baldi Antognini, Rosamarie Frieri, Maroussa Zagoraiou, New insights into adaptive enrichment designs, «STATISTICAL PAPERS», 2023, 64, pp. 1305 - 1328 [articolo]Open Access

Rosamarie Frieri, Alessandro Baldi Antognini, Maroussa Zagoraiou, Marco Novelli, Robustness of the Efficient Covariate-Adaptive Design for balancing covariates in comparative experiments, in: Book of the Short Paper, Pearson, 2023, pp. N/A - N/A (atti di: SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation, Università Politecnica delle Marche, Ancona, 21-23 Giugno) [Contributo in Atti di convegno]

Baldi Antognini, Alessandro; Novelli, Marco; Zagoraiou, Maroussa, Simulated annealing for balancing covariates, «STATISTICS IN MEDICINE», 2023, 2023, pp. 1 - 15 [articolo]Open Access

Baldi Antognini, Alessandro; Novelli, Marco; Zagoraiou, Maroussa, A new inferential approach for response-adaptive clinical trials: the variance-stabilized bootstrap, «TEST», 2022, 31, pp. 235 - 254 [articolo]Open Access

Baldi Antognini, Alessandro; Novelli, Marco; Zagoraiou, Maroussa, A simple solution to the inadequacy of asymptotic likelihood-based inference for response-adaptive clinical trials, «STATISTICAL PAPERS», 2022, 63, pp. 157 - 180 [articolo]Open Access

Baldi Antognini, A; Frieri, R; Zagoraiou, M; Novelli, M, The Efficient Covariate-Adaptive Design for high-order balancing of quantitative and qualitative covariates, «STATISTICAL PAPERS», 2022, 2022, pp. N/A - N/A [articolo]Open Access

Alessandro Baldi Antognini, Rosamarie Frieri, Marco Novelli, Maroussa Zagoraiou, Multi-objective optimal allocations for experimental studies with binary outcome, in: Book of Short Papers SIS 2021, Pearson, 2021, pp. 621 - 626 (atti di: SIS 2021, Pisa (online), 21-25 Giugno 2021) [Contributo in Atti di convegno]

Baldi Antognini, Alessandro; Frieri, Rosamarie; Novelli, Marco; Zagoraiou, Maroussa, Optimal designs for testing the efficacy of heterogeneous experimental groups, «ELECTRONIC JOURNAL OF STATISTICS», 2021, 15, pp. 3217 - 3248 [articolo]Open Access

Novelli, Marco; Baldi Antognini, Alessandro; Boffetta, Paolo; Ioannidis, John PA; Spatari, Giovanna; Violante, Francesco S, Reporting only relative effect measures was potentially misleading: some good practices for improving the soundness of epidemiological results, «JOURNAL OF CLINICAL EPIDEMIOLOGY», 2021, 137, pp. 195 - 199 [articolo]Open Access

Baldi Antognini, Alessandro; Novelli, Marco; Zagoraiou, Maroussa; Vagheggini, Alessandro, Compound optimal allocations for survival clinical trials, «BIOMETRICAL JOURNAL», 2020, 62, pp. 1730 - 1746 [articolo]

Alessandro Baldi Antognini, Marco Novelli, Maroussa Zagoraiou, Optimal designs for testing hypothesis in multiarm clinical trials, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2019, 28, pp. 3242 - 3259 [articolo]Open Access

Baldi Antognini, Alessandro Vagheggini, Maroussa Zagoraiou, Marco Novelli;, A new design strategy for hypothesis testing under response adaptive randomization, «ELECTRONIC JOURNAL OF STATISTICS», 2018, 12, pp. 2454 - 2481 [articolo]Open Access

Marco Novelli; Alessandro Baldi Antognini; Maroussa Zagoraiou, A new design test based on a bootstrap method for response-adaptive clinical trials, in: CFE-CMStatistics 2018 Book of Abstracts, 2018, pp. 25 - 25 (atti di: 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), University of Pisa, Italy, 14-16 December 2018) [atti di convegno-abstract]

Baldi Antognini, Alessandro; Vagheggini, Alessandro; Zagoraiou, Maroussa, Is the classical Wald test always suitable under response-adaptive randomization?, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2018, 27, pp. 2294 - 2311 [articolo]Open Access

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