Evidence map›Paper›PMID 22419604›Full record

ArticleStatistics in medicine2012

Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models.

Donald Hedeker, Robin J Mermelstein, Hakan Demirtas

Registry-linked trialAbstract read
In one paragraph

Article in Statistics in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05025787 (EN20-01), which is not on this map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT05025787 phase2completednot on this mapstarted 2021, after this paper: background citation

EN20-01: A 24 Week Study to Evaluate the Safety and Efficacy of CNTX-6970 in Subjects With Moderate to Severe Knee Osteoarthritis Pain.

TypeinterventionalSponsorMaurizio Fava, MDRan2021 to 2024Enrolled55ConditionsKnee OsteoarthritisArmsCNTX-6970, Placebo
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Location-scale models for meta-analysis.Research synthesis methods · 2022
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Tracking quality of life-related outcomes in the U.S. population with monthly PROMIS computerized adaptive testing.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  6. Article
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  8. Article
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  12. Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches.Structural equation modeling : a multidisciplinary journal · 2026
    Article
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  14. Observational
  15. Observational
  16. Article
  17. Article
  18. Mixed-Effects Location Scale Models for Joint Modeling School Value-Added Effects on the Mean and Variance of Student Achievement.Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association · 2024
    Article
  19. Article
  20. Demographic factors associated with within-individual variability of lung function for adults with cystic fibrosis: A UK registry study.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024
    Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Donald HedekerDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA. hedeker@uic.edu
Robin J Mermelstein
Hakan Demirtas

Funding

Social-Emotional Contexts of Adolescent Smoking PatternsP01CA098262 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MERMELSTEIN, ROBIN J. · 2004 to 2014
$26.3M
Variance Modeling of Smoking-related EMA DataR21CA140696 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HEDEKER, DONALD · 2009 to 2010
$380k
NCI NIH HHS P01 CA098262NCI NIH HHS P01CA098262NCI NIH HHS R21 CA140696NCI NIH HHS R21CA140696
6 · The paper itself

Abstract

Ecological momentary assessment and/or experience sampling methods are increasingly used in health studies to study subjective experiences within changing environmental contexts. In these studies, up to 30 or 40 observations are often obtained for each subject. Because there are so many measurements per subject, one can characterize a subject's mean and variance and can specify models for both. In this article, we focus on an adolescent smoking study using ecological momentary assessment where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances and also extend the statistical model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure.

Indexed as

Models, StatisticalAdolescentAffectData CollectionEcologyHumansSmoking

Identifiers

PMID22419604
PMCPMC3655706

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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.