A review and comparison of arm‐based versus contrast‐based network meta‐analysis for binary outcomes—Understanding their differences and limitations
Network meta‐analysis (NMA) is a statistical procedure to simultaneously compare multiple
interventions. Despite the added complexity of performing an NMA compared with the …
interventions. Despite the added complexity of performing an NMA compared with the …
[HTML][HTML] Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis
Network meta-analysis (NMA) is a powerful tool to compare multiple treatments directly and
indirectly by combining and contrasting multiple independent clinical trials. Because many …
indirectly by combining and contrasting multiple independent clinical trials. Because many …
Bayesian meta‐analysis using SAS PROC BGLIMM
Meta‐analysis is commonly used to compare two treatments. Network meta‐analysis (NMA)
is a powerful extension for comparing and contrasting multiple treatments simultaneously in …
is a powerful extension for comparing and contrasting multiple treatments simultaneously in …
Network meta-analysis made simple: a composite likelihood approach
Network meta-analysis, also known as mixed treatments comparison meta-analysis or
multiple treatments meta-analysis, extends conventional pairwise meta-analysis by …
multiple treatments meta-analysis, extends conventional pairwise meta-analysis by …
Shrinking the Variance in Experts'“Classical” Weights Used in Expert Judgment Aggregation
Mathematical aggregation of probabilistic expert judgments often involves weighted linear
combinations of experts' elicited probability distributions of uncertain quantities. Experts' …
combinations of experts' elicited probability distributions of uncertain quantities. Experts' …
[图书][B] Bayesian Meta-analysis Methods for Improving Accuracy and Adjusting for Publication Bias
T Gibson - 2022 - search.proquest.com
Meta-analysis (MA) combines multiple studies to estimate a quantity of interest. Some
existing MA models have shortcomings in the form of 1) inappropriate inference targets, 2) …
existing MA models have shortcomings in the form of 1) inappropriate inference targets, 2) …