Participants' outcomes gone missing within a network of interventions: Bayesian modeling strategies.

ABSTRACT:

Objectives

To investigate the implications of addressing informative missing binary outcome data (MOD) on network meta-analysis (NMA) estimates while applying the missing at random (MAR) assumption under different prior structures of the missingness parameter.

Methods

In three motivating examples, we compared six different prior structures of the informative missingness odds ratio (IMOR) parameter in logarithmic scale under pattern-mixture and selection models. Then, we simulated 1000 triangle networks of two-arm trials assuming informative MOD related to interventions. We extended the Bayesian random-effects NMA model for binary outcomes and node-splitting approach to incorporate these 12 models in total. With interval plots, we illustrated the posterior distribution of log

SUBMITTER: Spineli LM 

PROVIDER: S-EPMC7754380 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature