Evidence map›Paper›PMID 30998040›Full record

ArticlePsychological methods2019

An exponential effect persistence model for intensive longitudinal data.

Claude M Setodji, Steven C Martino, Michael S Dunbar, William G Shadel

Abstract read
In one paragraph

Article in Psychological methods, 2019. 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. Article
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

4 authors.

Claude M SetodjiRAND Corporation.ORCID 0000-0001-9592-422X
Steven C MartinoRAND Corporation.
Michael S DunbarRAND Corporation.
William G ShadelRAND Corporation.

Funding

Reducing the Effect of Tobacco Powerwall Displays at Retail Point-Of-SaleR01CA175209 · NCI · RAND CORPORATION · PI SHADEL, WILLIAM G · 2013 to 2016
$2.2M
In Vivo Assessment of Young Adults' Exposure to Cigarette AdvertisingR21CA137286 · NCI · RAND CORPORATION · PI SHADEL, WILLIAM G · 2009 to 2010
$421k
NCI NIH HHS R01 CA175209NCI NIH HHS R21 CA137286
6 · The paper itself

Abstract

We develop an effect persistence model for intensive longitudinal data under a general assumption of an exponential loss of association between exposure and outcome over time. The working model proposed may be useful for understanding the complexity of phenomena for which subjects can be repeatedly exposed to an intervention or a naturally occurring event, while, the effect of any one exposure is expected to diminish over time. Under the main assumption, we specify a semilinear model with extensions to generalized linear models. These methods are motivated by, and applied to, data from a study of adolescent exposure to prosmoking advertisement in which the impact of prosmoking media exposure on young adults' susceptibility to smoking is assessed along with the decay of the effect over time. We investigate the performance of the proposed method when the model assumptions are correctly specified or not. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Data Interpretation, StatisticalLongitudinal StudiesModels, StatisticalAdolescentAdultAdvertisingBehavioral SciencesEcological Momentary AssessmentHumansSmokingYoung Adult

Identifiers

PMID30998040
PMCPMC6776701

What OpenQuestion holds

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Registered trials

None linked

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.