Disproportionality Functions for Pharmacovigilance

Tools for performing disproportionality analysis using the information component, proportional reporting rate and the reporting odds ratio. The anticipated use is passing data to the da() function, which executes the disproportionality analysis. See Norén et al (2011) and Montastruc et al (2011) for further details.


pvda pvda website

An R package for executing disproportionality analyses in pharmacovigilance, using the information component (IC), proportional reporting rate (PRR) and reporting odds ratio (ROR).

CRAN status R-CMD-check Codecov test coverage

Installation

# Install stable version from CRAN 
install.packages("pvda")

Example code

To run a disproportionality analysis, pass the adverse event report-level data (here, drug_event_df) to function da as:

library("pvda")

da1 <- 
drug_event_df |> 
da()

summary(da1)

Screenshot of the summary print output.

To extract the results in a data frame, access "da_df" as a list object:

da_results <- 
da1$da_df

Screenshot of the da_df data frame.

Reference manual

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install.packages("pvda")

0.0.4 by Michele Fusaroli, 2 years ago


https://oskargauffin.github.io/pvda/


Report a bug at https://github.com/OskarGauffin/pvda/issues


Browse source code at https://github.com/cran/pvda


Authors: Oskar Gauffin [aut] , Michele Fusaroli [cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports checkmate, cli, data.table, dplyr, dtplyr, glue, purrr, Rdpack, rlang, stats, stringr, tibble, tidyr, tidyselect, utils

Suggests knitr, rmarkdown, testthat, writexl


See at CRAN