AEenrich

AEenrich-package

Adverse event (AE) enrichment
analysis. Unlike the continuous gene expression data, AE data are counts.
Therefore, AE data has many zeros and ties. We propose two enrichment tests.
AEFisher is a modified Fisher's exact test based on pre-selected significant AEs,
while AEKS is based on a modified Kolmogorov-Smirnov statistic.
Use the function <code>enrich</code> to fit models and inspect results.
See our <a href="https://github.com/umich-biostatistics/AEenrich">Github home page</a>
or run ?enrich for examples.

We extend existing gene enrichment tests to perform adverse
event enrichment analysis. Unlike the continuous gene expression data,
adverse event data are counts. Therefore, adverse event data has many zeros
and ties. We propose two enrichment tests. One is a modified Fisher's exact
test based on pre-selected significant adverse events, while the other is
based on a modified Kolmogorov-Smirnov statistic. "Adverse event enrichment
tests using VAERS" Shuoran Li, Lili Zhao (2020) <arXiv:2007.02266>.

Michael Kleinsasser

Adverse Event Enrichment Tests

Shuoran Li

Lili Zhao

AEenrich-package function

Adverse event (AE) enrichment
analysis. Unlike the continuous gene expression data, AE data are counts.
Therefore, AE data has many zeros and ties. We propose two enrichment tests.
AEFisher is a modified Fisher's exact test based on pre-selected significant AEs,
while AEKS is based on a modified Kolmogorov-Smirnov statistic.
Use the function <code>enrich</code> to fit models and inspect results.
See our <a href='https://github.com/umich-biostatistics/AEenrich'>Github home page</a>
or run ?enrich for examples.

AEenrich-package: AEenrich: Adverse Event Enrichment Tests

Description

Arguments

See Also