Man pages for fdb
Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
| add_ess_to_simulation_result | Append ESS to a simulation summary |
| calibrate_all_lambdas | Calibrate lambda for all borrowing methods |
| calibrate_lambda_grid | Single-stage lambda calibration for one borrowing method |
| calibrate_lambda_grid_two_stage | Two-stage lambda calibration for one borrowing method |
| compute_ess_from_raw | Compute effective sample size from raw simulation output |
| compute_sandwich_se | Sandwich standard error for a penalized Cox borrowing... |
| drift_set | Drift set utilities |
| fdb-package | fdb: Frequentist Dynamic Borrowing for Hybrid-Control... |
| fit_all_methods | Fit all borrowing methods on a single dataset |
| fit_internal_only | Internal-control-only Cox analysis |
| fit_li_adaptive_lasso | Adaptive lasso borrowing of Li et al. (2023) |
| fit_naive_pooled | Naive pooled Cox analysis |
| fit_one_penalized_method | Fit a single penalized borrowing method |
| fit_P1_precision_L1 | Precision-weighted L1 penalty (P1) |
| fit_P2_gated_L1 | Smoothed integrated-gate penalty (P2) |
| fit_P3_info_MCP | Information-adaptive minimax concave penalty (P3) |
| fit_P4_LRweighted_L1 | Likelihood-ratio-weighted L1 penalty (P4) |
| lambdas_default | Default tuning parameters |
| run_drift_curve | Evaluate operating characteristics across a set of drift... |
| run_fdb_study | One-stop wrapper: calibrate lambda, then evaluate type I and... |
| run_simulation | Run a Monte Carlo simulation under a fixed scenario |
| scenario_S1 | Example simulation scenario |
| simulate_hybrid_cox | Simulate a hybrid-control Cox proportional hazards dataset |
