Evidence map›Paper›PMID 36874366›Full record

ArticleFrontiers in digital health2023

Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation.

Arne Leijon, Petra von Gablenz, Inga Holube, Jalil Taghia, Karolina Smeds

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Arne LeijonKTH - Royal Institute of Technology, Stockholm, Sweden.
Petra von GablenzInstitute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany.
Inga HolubeInstitute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany.
Jalil TaghiaKTH - Royal Institute of Technology, Stockholm, Sweden.
Karolina SmedsORCA Europe, WS Audiology, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a new Bayesian method for analyzing Ecological Momentary Assessment (EMA) data and applies this method in a re-analysis of data from a previous EMA study. The analysis method has been implemented as a freely available Python package

Indexed as

ambulatory assessmentBayesian inferenceEcological Momentary AssessmentEMAexperience samplingnominal dataordinal data

Identifiers

PMID36874366
PMCPMC9981641

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.