Global estimation of child mortality using a Bayesian B-spline bias-reduction model

DOI10.1214/14-AOAS768zbMath1454.62309arXiv1309.1602OpenAlexW3099916863WikidataQ57200031 ScholiaQ57200031MaRDI QIDQ2258564

Leontine Alkema, Jin Rou New

Publication date: 26 February 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1309.1602

zbMATH Keywords

Bayesian hierarchical modellogarithmic poolingMillennium Development Goal 4penalized B-spline regression modelunder-five mortality rateUnited Nations Interagency Group for Child Estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (6)

A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data ⋮ Child mortality estimation incorporating summary birth history data ⋮ Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Comparison ⋮ Bias correction in clustered underreported data ⋮ Global estimation of child mortality using a Bayesian B-spline bias-reduction model ⋮ Space-time smoothing of complex survey data: small area estimation for child mortality

Uses Software

• JAGS
• Gibbsit

Cites Work

• Unnamed Item
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Inference from iterative simulation using multiple sequences
• Global estimation of child mortality using a Bayesian B-spline bias-reduction model
• Flexible smoothing with P-splines: a unified approach
• Strictly Proper Scoring Rules, Prediction, and Estimation

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