Interval estimation for messy observational data

DOI10.1214/09-STS305zbMath1329.62133arXiv1010.0306OpenAlexW2090591864MaRDI QIDQ907959

Paul Gustafson, Sander Greenland

Publication date: 2 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.0306

zbMATH Keywords

Bayesian analysisbiasobservational studiesepidemiologyidentifiabilityconfoundinginterval coveragehierarchical prior

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Bayesian inference (62F15)

Related Items

Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic, Partially identified prevalence estimation under misclassification using the kappa coefficient, Parameter restrictions for the sake of identification: is there utility in asserting that perhaps a restriction holds?, Relaxation penalties and priors for plausible modeling of nonidentified bias sources, Comment: The need for syncretism in applied statistics, On the behaviour of Bayesian credible intervals in partially identified models, A Bayesian Approach to Improved Estimation of Causal Effect Predictiveness for a Principal Surrogate Endpoint, Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance

Uses Software

• EBarrays

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesianly justifiable and relevant frequency calculations for the applied statistician
• On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
• Relaxation penalties and priors for plausible modeling of nonidentified bias sources
• Likelihood-based confidence sets for partially identified parameters
• Frequentist probability and frequentist statistics
• The interplay of Bayesian and frequentist analysis
• In-season prediction of batting averages: a field test of empirical Bayes and Bayes methodol\-ogies
• Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
• Case-Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities
• Multiple-Bias Modelling for Analysis of Observational Data
• The Performance of Random Coefficient Regression in Accounting for Residual Confounding
• The optimal confidence region for a random parameter
• Bayes and Admissible Set Estimation
• Sampling and Bayes' Inference in Scientific Modelling and Robustness
• Empirical Bayes Analysis of a Microarray Experiment
• The Impact of Prior Distributions for Uncontrolled Confounding and Response Bias
• Efficiently Simulating the Coverage Properties of Interval Estimates
• Parametric Empirical Bayes Inference: Theory and Applications
• False Models and Post-Data Model Construction
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
• Confidence Intervals for Partially Identified Parameters
• Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes