Check if mcc object is from grouped analysis
Examples
# Create sample data
library(dplyr)
df <- data.frame(
id = c(1, 2, 3, 4, 4, 4, 5, 5),
time = c(8, 1, 5, 2, 6, 7, 3, 3),
cause = c(0, 0, 2, 1, 1, 1, 1, 2),
group = c("A", "A", "B", "B", "B", "B", "A", "A")
) |>
arrange(id, time)
# Ungrouped analysis
mcc_ungrouped <- mcc(df, "id", "time", "cause")
#> Warning: Found 1 participant where last observation is an event of interest (`cause_var`
#> = 1)
#> ! ID: 4
#> ℹ `mcc()` assumes these participants are censored at their final `time_var`
#> ℹ If participants were actually censored or experienced competing risks after
#> their last event, add those observations to ensure correct estimates
#> ℹ Adjusted time points for events occurring simultaneously for the same subject.
is_grouped(mcc_ungrouped) # FALSE
#> [1] FALSE
# Grouped analysis
mcc_grouped <- mcc(df, "id", "time", "cause", by = "group")
#> ℹ Adjusted time points for events occurring simultaneously for the same subject.
#> Warning: Found 1 participant where last observation is an event of interest (`cause_var`
#> = 1)
#> ! ID: 4
#> ℹ `mcc()` assumes these participants are censored at their final `time_var`
#> ℹ If participants were actually censored or experienced competing risks after
#> their last event, add those observations to ensure correct estimates
is_grouped(mcc_grouped) # TRUE
#> [1] TRUE
# Clean up
rm(df, mcc_ungrouped, mcc_grouped)