E2E (version 0.1.2)

evaluate_model_pro: Evaluate Prognostic Model Performance

Description

Comprehensive evaluation of survival models using:

1. Harrell's Concordance Index (C-index).

2. Time-dependent Area Under the ROC Curve (AUROC) at specified years.

3. Kaplan-Meier analysis comparing high vs. low risk groups (based on median split).

Usage

evaluate_model_pro(
  trained_model_obj = NULL,
  X_data = NULL,
  Y_surv_obj,
  sample_ids,
  years_to_evaluate = c(1, 3, 5),
  precomputed_score = NULL,
  meta_normalize_params = NULL
)

Value

A list containing a dataframe of scores and a list of evaluation metrics.

Arguments

trained_model_obj

A trained model object (optional if precomputed_score provided).

X_data

Features for prediction (optional if precomputed_score provided).

Y_surv_obj

True survival object.

sample_ids

Vector of IDs.

years_to_evaluate

Numeric vector of years for time-dependent AUC.

precomputed_score

Numeric vector of pre-calculated risk scores.

meta_normalize_params

Internal use.