AEenrich-package: AEenrich: Adverse Event Enrichment Tests

In AEenrich: Adverse Event Enrichment Tests

Description

The count_cases function is used to convert data on the report level to aggregated data, grouping by specified covariates.

Use the function count_cases to convert report level data into aggregated data.

See our Github home page or run ?count_cases for examples.

Perform Adverse Event Enrichment Tests The enrich function is used to perform 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 enrich to fit models and inspect results.

See our Github home page or run ?enrich for examples.

Author(s)

Maintainer: Michael Kleinsasser [e-mail]

Authors:

• Shuoran Li [e-mail]

• Hongfan Chen [e-mail]

• Lili Zhao [e-mail]

Maintainer: Michael Kleinsasser [e-mail]

Authors:

• Shuoran Li [e-mail]

• Hongfan Chen [e-mail]

• Lili Zhao [e-mail]

See Also

Useful links:

• https://github.com/umich-biostatistics/AEenrich

• Report bugs at https://github.com/umich-biostatistics/AEenrich/issues

Useful links:

• https://github.com/umich-biostatistics/AEenrich

• Report bugs at https://github.com/umich-biostatistics/AEenrich/issues

AEenrich documentation built on Nov. 1, 2021, 5:07 p.m.