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of 591
pro vyhledávání: '"Arfè A"'
The use of simulation-based sensitivity analyses is fundamental to evaluate and compare candidate designs for future clinical trials. In this context, sensitivity analyses are especially useful to assess the dependence of important design operating c
Externí odkaz:
http://arxiv.org/abs/2208.03887
Autor:
Liu, Si-Yang, Erazo, Tatiana, Jee, Justin, Arfe, Andrea, Gupta, Avantika, Pike, Luke R.G., Santini, Fernando C., Daly, Bobby, Schoenfeld, Adam, Eichholz, Jordan, Johnson, Kaylie, Martinez, Andres, Sui, Jane, Riaz, Nadeem, Chang, Jason, Yang, Soo-Ryum, Travis, William, Arcila, Maria E., Guo, Jiannan, Gagne, Eric, Garg, Kavita, Baehner, Frederick, Lee, Nancy Y., Drilon, Alexander, Kris, Mark G., Scher, Howard I., Razavi, Pedram, Gomez, Daniel R., Jones, David R., Rudin, Charles M., Chandarlapaty, Sarat, Isbell, James M., Li, Bob T.
Publikováno v:
In European Journal of Cancer October 2024 210
Publikováno v:
In Computers & Education March 2024 210
Autor:
Russo, Sofia, Carnovalini, Filippo, Calignano, Giulia, Arfé, Barbara, Rodà, Antonio, Valenza, Eloisa
Publikováno v:
In Cognition February 2024 243
Autor:
Arfè, Andrea, Muliere, Pietro
We introduce a novel procedure to perform Bayesian non-parametric inference with right-censored data, the \emph{beta-Stacy bootstrap}. This approximates the posterior law of summaries of the survival distribution (e.g. the mean survival time). More p
Externí odkaz:
http://arxiv.org/abs/2002.04081
Publikováno v:
In Research in Developmental Disabilities December 2023 143
Autor:
Arfè, Raffaella, Bilel, Sabrine, Tirri, Micaela, Corli, Giorgia, Bergamin, Eva, Serpelloni, Giovanni, Bassi, Marta, Borsari, Martina, Boccuto, Federica, Bernardi, Tatiana, Caruso, Lorenzo, Alkilany, Alaaldin M., Rachid, Ousama, Botrè, Francesco, De-Giorgio, Fabio, Marti, Matteo
Publikováno v:
In Drug and Alcohol Dependence 1 November 2023 252
Most statistical tests for treatment effects used in randomized clinical trials with survival outcomes are based on the proportional hazards assumption, which often fails in practice. Data from early exploratory studies may provide evidence of non-pr
Externí odkaz:
http://arxiv.org/abs/1902.00161
The literature on Bayesian methods for the analysis of discrete-time semi-Markov processes is sparse. In this paper, we introduce the semi-Markov beta-Stacy process, a stochastic process useful for the Bayesian non-parametric analysis of semi-Markov
Externí odkaz:
http://arxiv.org/abs/1812.00260
Autor:
Bilel, S., Murari, M., Pesavento, S., Arfè, R., Tirri, M., Torroni, L., Marti, M., Tagliaro, F., Gottardo, R.
Publikováno v:
In Neurotoxicology March 2023 95:83-93