Bayesian splines versus fractional polynomials in network meta-analysis.

ABSTRACT:

Background

Network meta-analysis (NMA) provides a powerful tool for the simultaneous evaluation of multiple treatments by combining evidence from different studies, allowing for direct and indirect comparisons between treatments. In recent years, NMA is becoming increasingly popular in the medical literature and underlying statistical methodologies are evolving both in the frequentist and Bayesian framework. Traditional NMA models are often based on the comparison of two treatment arms per study. These individual studies may measure outcomes at multiple time points that are not necessarily homogeneous across studies.

Methods

In this article we present a Bayesian model based on B-splines for the simultaneous analysis of outcomes across time points, that allows for indirect co

SUBMITTER: Heinecke A 

PROVIDER: S-EPMC7574305 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature