Inferring medication adherence from time-varying health measures
From MaRDI portal
Publication:6628358
DOI10.1002/sim.9351zbMath1547.62276MaRDI QIDQ6628358
Kristen B. Hunter, Luis Fernando Campos, Mark E. Glickman
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On particle methods for parameter estimation in state-space models
- Bayesian forecasting and dynamic models.
- Inference from iterative simulation using multiple sequences
- Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
- Negative association, ordering and convergence of resampling methods
- Inference in hidden Markov models.
- Particle Markov Chain Monte Carlo Methods
- Smoothing With Couplings of Conditional Particle Filters
- Dynamic Linear Models with R
- Path storage in the particle filter
This page was built for publication: Inferring medication adherence from time-varying health measures