Evidence map›Paper›PMID 36495364›Full record

ArticleBulletin of mathematical biology2022

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.

Sijing Shao, Judith E Canner, Rebecca A Everett, Kidist Bekele-Maxwell, Alexis Kuerbis, Lyric Stephenson, Jennifer Menda, Jon Morgenstern, H T Banks

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bulletin of mathematical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

9 authors.

Sijing ShaoDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Judith E CannerDepartment of Mathematics and Statistics, California State University, Monterey Bay, Seaside, CA, USA.
Rebecca A EverettDepartment of Mathematics and Statistics, Haverford College, Haverford, PA, USA. reverett@haverford.edu.ORCID http://orcid.org/0000-0002-1565-7510
Kidist Bekele-MaxwellApplied Research Associates, Inc., Arlington Division, Raleigh, NC, USA.
Alexis KuerbisSilberman School of Social Work, Hunter College, CUNY, New York, NY, USA.
Lyric StephensonCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, USA.
Jennifer MendaCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, USA.
Jon MorgensternCenter for Addiction Services and Psychotherapy Research, Northwell Health, Great Neck, NY, USA.
H T BanksCenter for Research in Scientific Computation, North Carolina State University, Raleigh, NC, USA.

Funding

Adaptive Interventions for Problem DrinkersR01AA022714 · NIAAA · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI MORGENSTERN, JON · 2015 to 2020
$3.4M
Naltrexone and CBT for problem drinkingR01AA015553 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MORGENSTERN, JON · 2006 to 2010
$3.0M
NIAAA NIH HHS AA022714NIAAA NIH HHS R01 AA 015553NIAAA NIH HHS R01 AA015553NIAAA NIH HHS R01 AA022714
6 · The paper itself

Abstract

Ecological momentary assessment (EMA) has been broadly used to collect real-time longitudinal data in behavioral research. Several analytic methods have been applied to EMA data to understand the changes of motivation, behavior, and emotions on a daily or within-day basis. One challenge when utilizing those methods on intensive datasets in the behavioral field is to understand when and why the methods are appropriate to investigate particular research questions. In this manuscript, we compared two widely used methods (generalized estimating equations and generalized linear mixed models) in behavioral research with three other less frequently used methods (Markov models, generalized linear mixed-effects Markov models, and differential equations) in behavioral research but widely used in other fields. The purpose of this manuscript is to illustrate the application of five distinct analytic methods to one dataset of intensive longitudinal data on drinking behavior, highlighting the utility of each method.

Indexed as

AlcoholismEcological Momentary AssessmentAlcohol DrinkingHumansMathematical ConceptsModels, BiologicalDifferential equationsEcological momentary assessment dataGeneralized estimating equationsGeneralized linear mixed-effects Markov modelsGeneralized linear mixed modelsMarkov models

Identifiers

PMID36495364
PMCPMC12880822

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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.