Evidence map›Paper›PMID 35127109›Full record

ArticleRoyal Society open science2022

A non-parametric model: free analysis of actigraphic recordings of acute insomnia patients.

Arlex Marín-García, Ruben Fossion, Markus F Müller, Wady Ríos-Herrera, Ana Leonor Rivera

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 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
0.3field-weighted citation impact, top 52% of its field
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, 4 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Arlex Marín-GarcíaCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, CDMX, México.
Ruben FossionCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, CDMX, México.ORCID 0000-0001-8456-2075
Markus F MüllerCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, CDMX, México.ORCID 0000-0002-2653-6204
Wady Ríos-HerreraCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, CDMX, México.
Ana Leonor RiveraCentro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de México, CDMX, México.ORCID 0000-0002-0296-7966
Universidad Nacional Autónoma de México · MXUniversidad Autónoma del Estado de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both parametric and non-parametric approaches to time-series analysis have advantages and drawbacks. Parametric methods, although powerful and widely used, can yield inconsistent results due to the oversimplification of the observed phenomena. They require the setting of arbitrary constants for their creation and refinement, and, although these constants relate to assumptions about the observed systems, it can lead to erroneous results when treating a very complex problem with a sizable list of unknowns. Their non-parametric counterparts, instead, are more widely applicable but present a higher detrimental sensitivity to noise and low density in the data. For the case of approximately periodic phenomena, such as human actigraphic time series, parametric methods are widely used and concepts such as

Indexed as

acrophaseactigraphyacute insomniacircadian cyclenon-parametric analysisultradian cycles

Identifiers

PMID35127109
PMCPMC8808102
OpenAlexW4210691187

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.