Evidence map›Paper›PMID 32265770›Full record

ArticleFrontiers in psychology2020

Gaussian Process Panel Modeling-Machine Learning Inspired Analysis of Longitudinal Panel Data.

Julian D Karch, Andreas M Brandmaier, Manuel C Voelkle

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06328790 (A Window Into the Mind-brain-body Interplay), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06328790 unknown statusnot on this mapstarted 2023, after this paper: background citation

A Window Into the Mind-brain-body Interplay: Development of Diagnostic, Prognostic Biomarkers and Rehabilitation Strategies in Functional Motor Disorders

TypeobservationalSponsorMichele Tinazzi, MD, PhDRan2023 to 2025Enrolled450ConditionsFunctional Motor DisordersArmsMultidisciplinary Rehabilitation Training, Cross-sectional study on patients with FMD and patients with structural/organic diseases, Cross-sectional study on patients with FMD and healthy controls (HC)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Julian D KarchMethodology and Statistics, Institute of Psychology, Leiden University, Leiden, Netherlands.
Andreas M BrandmaierFormal Methods in Lifespan Psychology, Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
Manuel C VoelklePsychological Research Methods, Department of Psychology, Humboldt University of Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we extend the Bayesian nonparametric regression method

Indexed as

Bayesiancontinuous-timelongitudinal analysismachine learningpredictionstatistical learning

Identifiers

PMID32265770
PMCPMC7096578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.