To address this question, Bayesian network meta-analysis enables a comprehensive analysis through integrating all available direct and indirect evidence across multiple trials to compare various ...

In certain data analyses (e.g., multiple discriminant analysis and multinomial log-linear modeling), classification decisions are made based on the estimated posterior probabilities that individuals ...

Background: Glycemic control is vital in the care of type 2 diabetes mellitus (T2DM) and is significantly associated with the incidence of clinical complications. This Bayesian network analysis ...

In the standard approach, if the null hypothesis of equal carryover effects is not rejected, data from both periods are used to estimate and test for treatment differences; if the null hypothesis is ...

WHAT THIS STUDY ADDS This network meta-analysis is the largest synthesis of resistance training prescription data from randomised trials. All resistance training prescriptions are better than no ...

Analyses Systematic review with Bayesian network meta-analysis (NMA) methodology was employed. Surface under the cumulative ranking curve (SUCRA) values were used to rank interventions. The Grading of ...