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Extract Best Cutoff and Add Binary Variable to Data Frame

Source: R/best_cutoff2.R
best_cutoff2.Rd

Finds the best cutoff point for a continuous variable in survival analysis. Takes input data containing a continuous variable and survival information (time and status). Returns the modified input data with a new binary variable created based on the best cutoff point.

Usage

best_cutoff2(
  pdata,
  variable,
  time = "time",
  status = "status",
  print_result = TRUE
)

Arguments

pdata

Data frame containing survival information and features.

variable

Character string specifying the continuous variable name.

time

Character string specifying the time-to-event column name. Default is `"time"`.

status

Character string specifying the event status column name. Default is `"status"`.

print_result

Logical indicating whether to print results. Default is `TRUE`.

Value

List containing:

pdata

Data frame with binary variable added

best_cutoff

Numeric cutoff value

cox_continuous_object

Cox model summary for continuous variable

summary_binary_variable

Summary of binary variable

cox_binary_object

Cox model summary for binary variable

Author

Dongqiang Zeng

Examples

set.seed(123)
pdata <- data.frame(
  time = rexp(100),
  status = rbinom(100, 1, 0.5),
  score = rnorm(100, mean = 50, sd = 10)
)
result <- best_cutoff2(pdata, variable = "score", print_result = FALSE)
#> ✔ Best cutoff for "score": 46.503
result$best_cutoff
#> [1] 46.5035