Evidence map›Paper›PMID 20702692›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010

A study of clustered data and approaches to its analysis.

Sally Galbraith, James A Daniel, Bryce Vissel

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04472078 (Seroprevalence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2), which is not on this map. Cited by 122 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 2 pooled it
–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.

NCT04472078 completednot on this mapstarted 2020, after this paper: background citation

Seroprevalence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) in a Vulnerable Neighbourhood, Buenos Aries Argentina

Typeobservational_patient_registrySponsorHospital Italiano de Buenos AiresRan2020 to 2020Enrolled873ConditionsSARS-CoV-2ArmsSerological Assay or IgG for SARS-CoV-2
3 · Its place in the literature

Who cites it

122 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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62 more citing papers are in PubMed but not listed here.

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.

Sally GalbraithSchool of Mathematics and Statistics, University of New South Wales, Sydney 2052, Australia.
James A Daniel
Bryce Vissel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical analysis is critical in the interpretation of experimental data across the life sciences, including neuroscience. The nature of the data collected has a critical role in determining the best statistical approach to take. One particularly prevalent type of data is referred to as "clustered data." Clustered data are characterized as data that can be classified into a number of distinct groups or "clusters" within a particular study. Clustered data arise most commonly in neuroscience when data are compiled across multiple experiments, for example in electrophysiological or optical recordings taken from synaptic terminals, with each experiment providing a distinct cluster of data. However, there are many other types of experimental design that can yield clustered data. Here, we provide a statistical model for intracluster correlation and systematically investigate a range of methods for analyzing clustered data. Our analysis reveals that it is critical to take data clustering into account and suggests appropriate statistical approaches that can be used to account for data clustering.

Indexed as

Cluster AnalysisModels, StatisticalData CollectionSoftware

Identifiers

PMID20702692
PMCPMC6634702

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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.