Evidence map›Paper›PMID 20826130›Full record

ReviewDevelopmental biology2010

Categorical data analysis in experimental biology.

Bo Xu, Xuyan Feng, Rebecca D Burdine

Abstract readReview
In one paragraph

Review in Developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  12. Rapid Mechanically Controlled Rewiring of Neuronal Circuits.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
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  19. From Mouth-level to Tooth-level DMFS: Conceptualizing a Theoretical Framework.Journal of dental, oral and craniofacial epidemiology
    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.

Bo XuDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Xuyan Feng
Rebecca D Burdine

Funding

Connecting Polycystin Signaling to Asymmetric Nodal ExpressionR01HD048584 · NICHD · PRINCETON UNIVERSITY · PI BURDINE, REBECCA D. · 2007 to 2016
$3.5M
NICHD NIH HHS R01 HD048584NICHD NIH HHS R01-HD048584
6 · The paper itself

Abstract

The categorical data set is an important data class in experimental biology and contains data separable into several mutually exclusive categories. Unlike measurement of a continuous variable, categorical data cannot be analyzed with methods such as the Student's t-test. Thus, these data require a different method of analysis to aid in interpretation. In this article, we will review issues related to categorical data, such as how to plot them in a graph, how to integrate results from different experiments, how to calculate the error bar/region, and how to perform significance tests. In addition, we illustrate analysis of categorical data using experimental results from developmental biology and virology studies.

Indexed as

AnimalsBiologyConfidence IntervalsData DisplayData Interpretation, StatisticalDevelopmental BiologyVirology

Identifiers

PMID20826130
PMCPMC3021327

What OpenQuestion holds

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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.