Mean cumulative function plot for harm outcomes by treatment group

aemcf plots the mean cumulative function (MCF) of all adverse events, adverse events of specific organ systems or specific adverse events with embedded table of number of participants at risk. The nonparametric MCF estimates (by Nelson-Aalen estimator) and the approximate 95% confidence intervals are obtained using the mcf function of the reda package.

Usage

aemcf(
  data,
  arm_levels,
  subset,
  adverse_event = "adverse_event",
  body_system_class = "body_system_class",
  id = "id",
  arm = "arm",
  date_rand = "date_rand",
  date_ae = "date_ae",
  last_visit = "last_visit",
  time_units = "days",
  arm_names = NULL,
  arm_colours = NULL,
  conf.int = TRUE,
  risk_table = TRUE,
  save_image_path = NULL
)

Arguments

data

data frame with adverse_event, body_system_class, id, arm, date_rand, date_ae and last_visit columns

arm_levels

vector of factor levels in arm variable

subset

an optional argument specifying a subset of observations to be used

adverse_event

name of adverse_event column

body_system_class

name of body_system_class column

id

name of id column

arm

name of arm column

date_rand

name of date_rand column

date_ae

name of date_ae column

last_visit

name of last_visit column

arm_names

vector of names for each arm in arm variable

arm_colours

vector of colours for each arm

conf.int

a logical value whether to plot the 95% confidence intervals

risk_table

a logical value whether to plot the risk table

save_image_path

file path to save MCF plot as image

Value

MCF plot with risk table

Examples

aemcf(df2, c("Placebo", "Intervention"), subset= body_system_class=="Gastrointestinal", adverse_event="ae_pt", body_system_class="aebodsys")