ArticleStatistical methods in medical research2017
Zero-inflated count models for longitudinal measurements with heterogeneous random effects.
Article in Statistical methods in medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 40 citations in OpenAlex.
- Population-Based Pharmacokinetic and Exposure-Efficacy Analyses of Peginterferon Beta-1a in Patients With Relapsing Multiple Sclerosis.Journal of clinical pharmacology · 2017Trial
- Female rats adopt a safety-first strategy in a high-conflict platform mediated avoidance task.Frontiers in behavioral neuroscience · 2026Article
- A systematic review of operational research modelling for alcohol consumption and its consequences.Health systems (Basingstoke, England) · 2026Review
- Application of zero-inflated Poisson model with heterogeneous random effects to evaluate the effect of oral health education on pregnant women's dental caries: A longitudinal experimental study.Dental research journal · 2024Article
- Joint modeling the frequency and duration of accelerometer-measured physical activity from a lifestyle intervention trial.Statistics in medicine · 2023Article
- Sustainable cereal production: A spatial analytical approach using the Ghana living standards survey.Heliyon · 2023Article
- Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models.Journal of applied statistics · 2023Article
- Commentary: Matching IRT Models to PRO Constructs- Modeling Alternatives, and Some Thoughts on What Makes a Model Different.Psychometrika · 2021Article
- The BNT162b2 vaccine is associated with lower new COVID-19 cases in nursing home residents and staff.Journal of the American Geriatrics Society · 2021Article
- A doubly-inflated Poisson regression for correlated count data.Journal of applied statistics · 2021Article
- Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions.Clinical trials (London, England) · 2020Article
- Robust inference in the multilevel zero-inflated negative binomial model.Journal of applied statistics · 2020Article
- Applying the zero-inflated Poisson model with random effects to detect abnormal rises in school absenteeism indicating infectious diseases outbreak.Epidemiology and infection · 2018Article
- Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trials.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2018Article
- Models for analyzing zero-inflated and overdispersed count data: an application to cigarette and marijuana use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018Article
- Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective.Statistical methods in medical research · 2018Article
- Legalization of recreational marijuana and community sales policy in Oregon: Impact on adolescent willingness and intent to use, parent use, and adolescent use.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Longitudinal zero-inflated count data arise frequently in substance use research when assessing the effects of behavioral and pharmacological interventions. Zero-inflated count models (e.g. zero-inflated Poisson or zero-inflated negative binomial) with random effects have been developed to analyze this type of data. In random effects zero-inflated count models, the random effects covariance matrix is typically assumed to be homogeneous (constant across subjects). However, in many situations this matrix may be heterogeneous (differ by measured covariates). In this paper, we extend zero-inflated count models to account for random effects heterogeneity by modeling their variance as a function of covariates. We show via simulation that ignoring intervention and covariate-specific heterogeneity can produce biased estimates of covariate and random effect estimates. Moreover, those biased estimates can be rectified by correctly modeling the random effects covariance structure. The methodological development is motivated by and applied to the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study, the largest clinical trial of alcohol dependence performed in United States with 1383 individuals.
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.