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Format AE summary analysis
format_ae_summary( outdata, display = c("n", "prop", "total"), digits_prop = 1, digits_ci = 1, digits_p = 3, digits_dur = c(1, 1), digits_events = c(1, 1), mock = FALSE )
A list of analysis raw datasets.
An outdata object created by prepare_ae_specific().
outdata
prepare_ae_specific()
A character vector of measurement to be displayed:
n: Number of subjects with adverse event.
n
prop: Proportion of subjects with adverse event.
prop
total: Total columns.
total
diff: Risk difference.
diff
diff_ci: 95% confidence interval of risk difference using M&N method.
diff_ci
diff_p: p-value of risk difference using M&N method.
diff_p
dur: Average of adverse event duration.
dur
events: Average number of adverse event per subject.
events
A numeric value of number of digits for proportion value.
A numeric value of number of digits for confidence interval.
A numeric value of number of digits for p-value.
A numeric value of number of digits for average duration of adverse event.
A numeric value of number of digits for average of number of adverse events per subject.
A boolean value to display mock table.
meta <- meta_ae_example() outdata <- prepare_ae_summary(meta, population = "apat", observation = "wk12", parameter = "any;rel;ser" ) tbl <- outdata |> format_ae_summary() head(tbl$tbl)
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