Hidden Markov models for alcoholism treatment trial data
From MaRDI portal
Publication:977644
DOI10.1214/09-AOAS282zbMath1189.62176arXiv1010.1410MaRDI QIDQ977644
Kevin G. Lynch, Stephen A. Maisto, Dylan S. Small, David W. Oslin, Kenneth E. Shirley
Publication date: 23 June 2010
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.1410
longitudinal datahidden Markov modelsmixed effects modelsalcohol relapsealcoholism clinical trialMCMC for mixture models
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (15)
Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering ⋮ Mixed Hidden Markov Models for Longitudinal Data: An Overview ⋮ Blood and breath alcohol concentration from transdermal alcohol biosensor data: estimation and uncertainty quantification via forward and inverse filtering for a covariate-dependent, physics-informed, hidden Markov model* ⋮ General framework and model building in the class of hidden mixture transition distribution models ⋮ On multinomial hidden Markov model for hierarchical manpower systems ⋮ Partially Ordered Mixed Hidden Markov Model for the Disablement Process of Older Adults ⋮ Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies ⋮ Assessing Type I error and power of multistate Markov models for panel data—A simulation study ⋮ A Bayesian HMM with random effects and an unknown number of states for DNA copy number analysis ⋮ Hidden Markov models for alcoholism treatment trial data ⋮ Multivariate longitudinal data analysis with mixed effects hidden Markov models ⋮ A Dynamic Latent Model for Poverty Measurement ⋮ A two-state mixed hidden Markov model for risky teenage driving behavior ⋮ Data-driven dynamic treatment planning for chronic diseases ⋮ A comparison of mathematical and statistical modeling with longitudinal data: an application to ecological momentary assessment of behavior change in individuals with alcohol use disorder
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Hidden Markov models for alcoholism treatment trial data
- Inference in hidden Markov models.
- A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness
- Bayesian Methods for Hidden Markov Models
- A Transitional Model for Longitudinal Binary Data Subject to Nonignorable Missing Data
- A Mover–Stayer Model for Longitudinal Marker Data
- Bayesian Measures of Model Complexity and Fit
- Mixed Hidden Markov Models
- A generalized mover-stayer model for panel data
- Hidden Markov Models for Longitudinal Comparisons
This page was built for publication: Hidden Markov models for alcoholism treatment trial data