EpipwR: efficient power analysis for EWAS with continuous outcomes

Authors

Austin W. Reynolds (ORCID: https://orcid.org/0000-0002-7154-1379)
Jackson Barth (ORCID: https://orcid.org/0009-0009-6307-9928)

Institutions

University of North Texas (US)
Baylor University (US)
University of North Texas Health Science Center (US)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf150
Citations: 1
Primary Topic: Energy Efficient Wireless Sensor Networks
Type: article
Field-Weighted Citation Impact: 0.35

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article

EpipwR: efficient power analysis for EWAS with continuous outcomes

Austin W. Reynolds, Jackson Barth

Dec 26, 2024

1 citations

Bioinformatics Advances

Energy Efficient Wireless Sensor Networks

0.35

article

EpipwR: efficient power analysis for EWAS with continuous outcomes

Austin W. Reynolds, Jackson Barth

December 26, 2024article en

1 citations

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

University of North Texas (US), Baylor University (US), University of North Texas Health Science Center (US)

Partnerships for the goals

Openalex Percentile: Top 33%

Energy Efficient Wireless Sensor Networks

0.35

DOI Open Access PDF OpenAlex

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EpipwR: efficient power analysis for EWAS with continuous outcomes — Austin W. Reynolds, Jackson Barth · Bioinformatics Advances (2024) | TGRS Research Map | TGRS