Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records
From MaRDI portal
Publication:2078766
DOI10.1214/20-AOAS1378zbMath1498.62253arXiv1906.00042OpenAlexW3115504973MaRDI QIDQ2078766
Maureen Smith, Mari Palta, Yajuan Si
Publication date: 3 March 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1906.00042
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples
- Missing data methods in longitudinal studies: a review
- A weakly informative default prior distribution for logistic and other regression models
- Posterior predictive \(p\)-values
- Nonparametric Bayesian models through probit stick-breaking processes
- Latent Pattern Mixture Models for Informative Intermittent Missing Data in Longitudinal Studies
- Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
- Missing Data in Longitudinal Studies
- Multiple Imputation and its Application
- On Inverse Probability Weighting for Nonmonotone Missing at Random Data
- Modeling the Drop-Out Mechanism in Repeated-Measures Studies
- Handbook of Mixed Membership Models and Their Applications
- Biased and unbiased estimation in longitudinal studies with informative visit processes
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Missing-Data Methods for Generalized Linear Models
This page was built for publication: Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records
