66 citations · 84 across the 6 of their papers we have counts for
6 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…
Hierarchical multinomial processing tree models for meta-analysis of diagnostic accuracy studies
Annamaria Guolo
Meta-analysis represents a widely accepted approach for evaluating the accuracy of diagnostic tools in clinical and psychological investigations. This paper investigates the applic…
A pseudo-likelihood approach for multivariate meta-analysis of test accuracy studies with multiple thresholds
Annamaria Guolo, Duc Khanh To
Multivariate meta-analysis of test accuracy studies when tests are evaluated in terms of sensitivity and specificity at more than one threshold represents an effective way to synth…
Improving likelihood-based inference in control rate regression
Annamaria Guolo
Control rate regression is a diffuse approach to account for heterogeneity among studies in meta-analysis by including information about the outcome risk of patients in the control…
Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression
Ioannis Kosmidis, Annamaria Guolo, Cristiano Varin
Random-effects models are frequently used to synthesise information from different studies in meta-analysis. While likelihood-based inference is attractive both in terms of limitin…
Beta regression for time series analysis of bounded data, with application to Canada Google Flu Trends
Annamaria Guolo, Cristiano Varin
Bounded time series consisting of rates or proportions are often encountered in applications. This manuscript proposes a practical approach to analyze bounded time series, through…