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Inferring medication adherence from time-varying health measures

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Publication:6628358
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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)




zbMATH Keywords

state-space modelssequential Monte Carlohypertensionmedication adherence


Mathematics Subject Classification ID

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


Cites Work

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  • 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






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