53 citations · 103 across the 4 of their papers we have counts for
4 papers
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments
Konstantina Chalkou, Tasnim Hamza, Pascal Benkert +7
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that…
Synthesizing cross-design evidence and cross-format data using network meta-regression
Tasnim Hamza, Konstantina Chalkou, Fabio Pellegrini +9
In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) o…
A dose-effect network meta-analysis model: an application in antidepressants
Tasnim Hamza, Toshi A. Furukawa, Nicola Orsini +3
Network meta-analysis (NMA) has been used to answer a range of clinical questions about the preferable intervention for a given condition. Although the effectiveness and safety of…
A Bayesian dose-response meta-analysis model: simulation study and application
Tasnim Hamza, Andrea Cipriani, Toshi A. Furukawa +3
Dose-response models express the effect of different dose or exposure levels on a specific outcome. In meta-analysis, where aggregated-level data is available, dose-response eviden…