Evidence map›Paper›PMID 32983313›Full record

ArticleThe annals of applied statistics2020

MODELING MICROBIAL ABUNDANCES AND DYSBIOSIS WITH BETA-BINOMIAL REGRESSION.

Bryan D Martin, Daniela Witten, Amy D Willis

Abstract read
In one paragraph

Article in The annals of applied statistics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers.

0numbers the graph read from it
0cells of the map it votes in
211citing 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

211 citing papers in PubMed.

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151 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.

Bryan D MartinDepartment of Statistics, University of Washington.
Daniela WittenDepartments of Statistics and Biostatistics, University of Washington.
Amy D WillisDepartment of Biostatistics, University of Washington.

Funding

Statistical methods to enhance reproducible microbiome discoveryR35GM133420 · NIGMS · UNIVERSITY OF WASHINGTON · PI Amy D Willis · 2019 to 2026
$2.8M
High-dimensional unsupervised learning, with applications to genomicsDP5OD009145 · OD · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA · 2011 to 2015
$1.8M
NIGMS NIH HHS R35 GM133420NIH HHS DP5 OD009145
6 · The paper itself

Abstract

Using a sample from a population to estimate the proportion of the population with a certain category label is a broadly important problem. In the context of microbiome studies, this problem arises when researchers wish to use a sample from a population of microbes to estimate the population proportion of a particular taxon, known as the taxon's

Indexed as

beta-binomialcorrelated datahigh throughput sequencingmicrobiomeoverdispersionRelative abundance

Identifiers

PMID32983313
PMCPMC7514055

What OpenQuestion holds

Textmetadata
LicenceTDM
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.