1 citations · 1 across the 3 of their papers we have counts for
4 papers
Dealing with partial missing correlations in multivariate and surrogate meta-analyses
Riccardo De Santis, Annamaria Guolo
This work addresses the issue of partially missing correlations within the framework of bivariate and surrogate meta-analyses. While restricting the analysis to complete-case studi…
Robust confidence intervals for generalized linear models
Andrea Panarotto, Riccardo De Santis, Livio Finos
Reliable uncertainty quantification is a central challenge in the analysis of modern biomedical data, where complex sources of variability often violate standard modeling assumptio…
Inference on multiple quantiles in regression models by a rank-score approach
Riccardo De Santis, Anna Vesely, Angela Andreella
This paper tackles the challenge of performing multiple quantile regressions across different quantile levels and the associated problem of controlling the familywise error rate, a…
Permutation-based multiple testing when fitting many generalized linear models
Riccardo De Santis, Jelle J. Goeman, Samuel Davenport +2
In many applied sciences a popular analysis strategy for high-dimensional data is to fit many multivariate generalized linear models in parallel. This paper presents a novel approa…