Ignorability and Coarse Data: Some Biomedical Examples

DOI10.2307/2532251zbMath0825.62755OpenAlexW2335152673WikidataQ36743298 ScholiaQ36743298MaRDI QIDQ4833924

Daniel F. Heitjan

Publication date: 12 July 1995

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2532251

Mathematics Subject Classification ID

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

Related Items

Missing at random, likelihood ignorability and model completeness. ⋮ Bayesian mitigation of spatial coarsening for a Hawkes model applied to gunfire, wildfire and viral contagion ⋮ A Simple Local Sensitivity Analysis Tool for Nonignorable Coarsening: Application to Dependent Censoring ⋮ Decision making under incomplete data using the imprecise Dirichlet model ⋮ A general Bayesian bootstrap for censored data based on the beta-Stacy process ⋮ Adversarial meta-learning of Gamma-minimax estimators that leverage prior knowledge ⋮ Interval censoring: Model characterizations for the validity of the simplified likelihood ⋮ Estimating spatial variation in disease risk from locations coarsened by incomplete geocoding ⋮ Estimating the Intensity of a Spatial Point Process from Locations Coarsened by Incomplete Geocoding ⋮ Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic ⋮ A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data ⋮ Bayesian analysis of censored response data in family-based genetic association studies ⋮ Racing trees to query partial data ⋮ What is meant by ``missing at random? ⋮ On the analysis of tuberculosis studies with intermittent missing sputum data