Frequentist and Bayesian Meta-Analysis of Risk Factors for Respiratory Syncytial Virus Hospitalization in Preterm Infants
Abeysinghe, S., Le Moine, J-G., Margulis, A., & Mauskopf, J. (2016). Frequentist and Bayesian Meta-Analysis of Risk Factors for Respiratory Syncytial Virus Hospitalization in Preterm Infants. Value in Health, 19(3), A174. https://doi.org/10.1016/j.jval.2016.03.1458
DMA of the SLR evidence, using either a frequentist or Bayesian methods, supports the notion that age and siblings are important risk factors for RSV hospitalization. Estimates for frequentist and Bayesian fixed effects models were highly consistent for age and siblings indicating that the results for the frequentist fixed effect DMA for age and siblings were robust. However Bayesian parameter estimates for the random effect model, estimated a greater degree of uncertainty (wider confidence interval) within the data than the frequentist method. This inconsistency would suggest further investigation is required to identify which method is most accurate.