estimate_null_expected_count

This function estimates the expected null baseline count (\(E_{ij}\)) for
each AE-drug combination under the assumption of independence between rows
and columns. The expected count is calculated using a reference row
(other AEs) and reference column (other drugs). This null baseline is
typically used in empirical Bayes modeling of pvEBayes package for
signal detection and estimation in spontaneous reporting system (SRS) data.

A suite of empirical Bayes methods to use in pharmacovigilance. Contains various model fitting and post-processing functions. For more details see Tan et al. (2025) <doi:10.48550/arXiv.2502.09816>, <doi:10.48550/arXiv.2512.01057>; Koenker and Mizera (2014) <doi:10.1080/01621459.2013.869224>; Efron (2016) <doi:10.1093/biomet/asv068>.

Yihao Tan

pvEBayes

Empirical Bayes Methods for Pharmacovigilance

Marianthi Markatou

Saptarshi Chakraborty

Raktim Mukhopadhyay

estimate_null_expected_count function

<dl><dt>contin_table</dt>
<dd>an IxJ contingency table showing pairwise counts of
adverse events for I AEs (along the rows) and J drugs (along the columns).
The reference row "Other AEs" and the reference column "Other drugs" need to
be the I-th row and J-th column respectively.</dd></dl>

Arguments

Estimate expected null baseline count based on reference row and column — estimate_null_expected_count

<dl>

<dt>contin_table</dt>
<dd>an IxJ contingency table showing pairwise counts of
adverse events for I AEs (along the rows) and J drugs (along the columns).
The reference row "Other AEs" and the reference column "Other drugs" need to
be the I-th row and J-th column respectively.</dd>

</dl>

estimate_null_expected_count: Estimate expected null baseline count based on reference row and column

Description

Usage

Value

Arguments

Details

References

Examples