| count_cases | R Documentation |
The count_cases function is used to convert data on the report level to aggregated data, grouping by specified covariates.
count_cases(
data,
drug.case = drug.case,
drug.control = NULL,
covar_disc = NULL,
covar_cont = NULL,
breaks = NULL,
cores = detectCores(),
min_AE = 10
)
data |
a data.frame with at least 3 columns, consisting data on the report level, having ID, Drug type and AE name as the first 3 columns with covariates(optional) followed. The order of columns is not interchangeable. |
drug.case |
a character string for the target drug of interest. |
drug.control |
a character string for the reference drug. If NULL(default), all other drugs combined are the reference. |
covar_disc |
a character vector of categorical covariates. |
covar_cont |
a character vector of continuous covariates. |
breaks |
a list consists of vectors used for creating specific bins to
transform continuous covariates into categorical. Breaks Should have the same
length as covar_cont. Given a vector of non-decreasing breakpoints in |
cores |
the number of cores to use for parallel execution. |
min_AE |
the minimum number of cases required to start counting for a specific AE. Default 10. |
A data.frame consists of aggregated data.
The returned data.frame contains the following columns:
type of the drug, DrugYes for target drug and DrugNo for referenced drug
the name of the adverse event
number of observations that have this AE
number of observations that do not have this AE
covariates specifed by user
# count_cases(data = covid1, drug.case = "COVID19", drug.control = "OTHER",
# covar_cont = c("AGE"), covar_disc = c("SEX"),
# breaks = list(c(16,30,50,65,120)))
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