demo_ {vigicaen}R Documentation

Data of immune checkpoint inhibitors.

Description

Demo, drug, adr, link, ind, out, srce, and followup are the main table in Vigibase Extract Case Level data. In a regular workflow, you will work with those tables as R objects (e.g. demo, drug, adr, link, ind, out, srce, followup). These built-in example datasets use an underscore "_" to avoid ambiguity with your own tables (e.g. demo_, drug_, adr_, link_, ind_, out_, srce_, followup_). This is a relational database, which means every table has a primary key variable (e.g., UMCReportId for demo_. Keys will allow joints with other tables The full details on the original structure can be found in "VigiBase Extract Case Level - file description.pdf" in your VigiBase ECL folders. demo_ will typically be your cornerstone table, since it contains one row per report. It is the preferred table to update for drugs and adrs identification before performing disproportionality analyses. These tables are subsets of the original ones, with some of the immune checkpoint inhibitor cases or immune-related adverse events. All data shown in these example data are FAKE, which means you shouldn't consider the counts and computations as accurate. Immune checkpoint inhibitors drugs include "Ipilimumab", "Atezolizumab", "Durvalumab", "Nivolumab", "Pembrolizumab", "Avelumab", "Cemiplimab","REGN 2810", "Tremelimumab". More details on how to use vigibase tables can be found in the vignettes. vignette("basic_workflow"), vignette("descriptive"). To build your own tables, use tb_vigibase(). See vignette("getting_started").

Usage

data(demo_)

drug_

adr_

link_

followup_

ind_

out_

srce_

Format

demo_ is a data.table with 7 variables and 750 rows.

drug_ is a data.table with 10 variables and 3514 rows.

adr_ is a data.table with 4 variables and 2133 rows.

link_ is a data.table with 3 variables and 3514 rows. The version built with tb_vigibase() is slightly different than the original one.

ind_ is a data.table with 2 variables and 2426 rows.

out_ is a data.table with 3 variables and 747 rows.

srce_ is a data.table with 2 variables and 729 rows.

followup_ is a data.table with 2 variables and 902 rows.

An object of class data.table (inherits from data.frame) with 3514 rows and 12 columns.

An object of class data.table (inherits from data.frame) with 2133 rows and 4 columns.

An object of class data.table (inherits from data.frame) with 5136 rows and 11 columns.

An object of class data.table (inherits from data.frame) with 902 rows and 2 columns.

An object of class data.table (inherits from data.frame) with 2426 rows and 2 columns.

An object of class data.table (inherits from data.frame) with 747 rows and 3 columns.

An object of class data.table (inherits from data.frame) with 729 rows and 2 columns.

Source

None

References

There is none

Examples

data(demo_)
demo_ |> dplyr::count(AgeGroup)

[Package vigicaen version 0.15.6 Index]