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 the empirical Bayes modeling of pvEBayes package
for signal detection and estimation in spontaneous reporting system (SRS)
data.
Usage
calculate_tilde_e(contin_table)
Arguments
- contin_table
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.
Value
an nrow(contin_table) by ncol(contin_table) matrix.
Details
This null value estimator is proposed by Tan et al. (2025).
References
Tan Y, Markatou M and Chakraborty S. Flexible Empirical Bayesian Approaches
to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength
Estimation in Spontaneous Reporting Systems Data.
Statistics in Medicine. 2025; 44: 18-19,
https://doi.org/10.1002/sim.70195.
