Modeling perinatal mortality in twins via generalized additive mixed models: a comparison of estimation approaches.

ABSTRACT:

Background

The analysis of twin data presents a unique challenge. Second-born twins on average weigh less than first-born twins and have an elevated risk of perinatal mortality. It is not clear whether the risk difference depends on birth order or their relative birth weight. This study evaluates the association between birth order and perinatal mortality by birth order-specific weight difference in twin pregnancies.

Methods

We adopt generalized additive mixed models (GAMMs) which are a flexible version of generalized linear mixed models (GLMMs), to model the association. Estimation of such models for correlated binary data is challenging. We compare both Bayesian and likelihood-based approaches for estimating GAMMs via simulation. We apply the methods to the US matched mult

SUBMITTER: Mullah MAS 

PROVIDER: S-EPMC6858726 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature