estimate_ror_bygroup {faersquarterlydata}

Estimate Measures of Association

Description

Estimate Measures of Association

Usage

estimate_ror_bygroup(
  tabular_faers_data,
  group_of_interest_col = NULL,
  group_of_interest_ref = NULL,
  rename_vector = NULL,
  event_of_interest_col = NULL,
  ...
)

Arguments

tabular_faers_data

FAERS tabular format. Output of function retrieve_faersxml or retrieve_faersxml_all

group_of_interest_col

a string, specifying the group of interest. Must me a column name of 'tabular_faers_data', and this columns should only contain two unique values.

group_of_interest_ref

a string, specifying the group of interest reference. Must me a value from the group of interest column.

rename_vector

optional. named vector to rename the group of interest, in order to show up in a

event_of_interest_col

a string, specifying the event of interest. Must me a column name of 'tabular_faers_data'.

...

arguments passed to 'estimate_ror' like 'ic_range'.

Value

tibble with the event of interest counts, group of interest counts and the respective estimated measures of association (ROR and its IC, PRR and its IC, Information Component and Chi-squared statisti with Yates correction.

Examples

estimate_ror_bygroup(tabular_faers_data = dplyr::filter(als_faers_data_unified, 
sex %in% c("M", "F")),
group_of_interest_col = "sex", 
group_of_interest_ref = "M", 
event_of_interest_col = "pt")