subgroup_survival: Subgroup Survival Analysis Using Cox Proportional Hazards...

In IOBR: Immune Oncology Biological Research

Subgroup Survival Analysis Using Cox Proportional Hazards Models

Description

Extracts hazard ratios (HR) and 95 proportional hazards models across specified subgroups.

Usage

subgroup_survival(
  pdata,
  time_name = "time",
  status_name = "status",
  variables,
  object
)

Arguments

pdata	Data frame containing variables, follow-up time, and outcome.
time_name	Character. Column name of follow-up time. Default is '"time"'.
status_name	Character. Column name of event status (1/0). Default is '"status"'.
variables	Character vector. Subgrouping variables (each processed independently).
object	Character. Variable of interest used in Cox model. If it has levels "High" and "Low", recode "High" to 0 and "Low" to 1 before calling.

Value

Data frame summarizing subgroup Cox results (HR, CI, p-value).

Author(s)

Dongqiang Zeng

Examples

set.seed(123)
test_pdata <- data.frame(
  time = runif(100, 1, 100),
  status = sample(c(0, 1), 100, replace = TRUE),
  subgroup = sample(c("A", "B"), 100, replace = TRUE),
  score = rnorm(100)
)
res <- subgroup_survival(
  pdata = test_pdata,
  time_name = "time",
  status_name = "status",
  variables = "subgroup",
  object = "score"
)
print(res)

IOBR documentation built on May 30, 2026, 5:07 p.m.