ArticleStatistics in medicine2011
Hidden Markov models for zero-inflated Poisson counts with an application to substance use.
Article in Statistics in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Modeling longitudinal drinking data in clinical trials: an application to the COMBINE study.Drug and alcohol dependence · 2013Trial
- Simultaneous modeling of the impact of treatments on alcohol consumption and quality of life in the COMBINE study: a coupled hidden Markov analysis.Alcoholism, clinical and experimental research · 2012Trial
- Impact of depressive symptoms on future alcohol use in patients with co-occurring bipolar disorder and alcohol dependence: a prospective analysis in an 8-week randomized controlled trial of acamprosate.Alcoholism, clinical and experimental research · 2012Trial
- Uncovering Social States in Healthy and Clinical Populations Using Digital Phenotyping and Hidden Markov Models: Observational Study.Journal of medical Internet research · 2025Observational
- Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions.Scientific reports · 2021Article
- A comparison of zero-inflated and hurdle models for modeling zero-inflated count data.Journal of statistical distributions and applications · 2021Review
- Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions.Clinical trials (London, England) · 2020Article
- Beyond abstinence and relapse: cluster analysis of drug-use patterns during treatment as an outcome measure for clinical trials.Psychopharmacology · 2020Article
- Bayesian latent structure modeling of walking behavior in a physical activity intervention.Statistical methods in medical research · 2016Article
- Multi-profile hidden Markov model for mood, dietary intake, and physical activity in an intervention study of childhood obesity.Statistics in medicine · 2013Article
- Abrupt changes in the patterns and complexity of anterior cingulate cortex activity when food is introduced into an environment.Frontiers in neuroscience · 2013Article
- On the Use of Mixed Markov Models for Intensive Longitudinal Data.Multivariate behavioral researchArticle
Corrections and comments
- Commented on by
Authors and funding
2 authors.
Funding
Abstract
Paradigms for substance abuse cue-reactivity research involve pharmacological or stressful stimulation designed to elicit stress and craving responses in cocaine-dependent subjects. It is unclear as to whether stress induced from participation in such studies increases drug-seeking behavior. We propose a 2-state Hidden Markov model to model the number of cocaine abuses per week before and after participation in a stress-and cue-reactivity study. The hypothesized latent state corresponds to 'high' or 'low' use. To account for a preponderance of zeros, we assume a zero-inflated Poisson model for the count data. Transition probabilities depend on the prior week's state, fixed demographic variables, and time-varying covariates. We adopt a Bayesian approach to model fitting, and use the conditional predictive ordinate statistic to demonstrate that the zero-inflated Poisson hidden Markov model outperforms other models for longitudinal count data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.