Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic

DOI10.1214/21-AOAS1499zbMath1498.62196arXiv2005.08459OpenAlexW4220666549MaRDI QIDQ2135365

Yanyan Li

Publication date: 6 May 2022

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

Full work available at URL: https://arxiv.org/abs/2005.08459

zbMATH Keywords

selection biaspartial identificationevidence synthesis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

Reflections on Bayesian inference and Markov chain Monte Carlo

Uses Software

• JAGS
• Stan
• nimble
• GitHub

Cites Work

• Evidence synthesis for stochastic epidemic models
• Interval estimation for messy observational data
• Inference from iterative simulation using multiple sequences
• Partial identification of probability distributions.
• Multiple-Bias Modelling for Analysis of Observational Data
• Sampling Methods for Wallenius' and Fisher's Noncentral Hypergeometric Distributions
• Mean and variance of an entry in a contingency table
• Unnamed Item

This page was built for publication: Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic