R: Multiplicity Control on Drop-the-Losers Designs

# Multiplicity Control on Drop-the-Losers Designs

## Documentation for package ‘dtlcor’ version 0.1.0

- DESCRIPTION file.

## Help Pages

dtl_app_get_alpha_t | Minimum significance level for the final stage under drop-the-losers (DTL) design
dtl_app_get_alpha_t_sim | Numerical minimum significance level for the final stage under drop-the-losers (DTL) design
dtl_app_sim | Simulation study for drop-the-losers (DTL) trial.
dtl_app_sim_single | Simulate a single drop-the-losers (DTL) trial.
dtl_cor_the_PH_upper_bound | Theoretical upper bound of correlation coefficient between time-to-event primary endpoint and binary surrogate endpoint
dtl_get_alpha_s | Significance level given a fixed correlation coefficient for the final stage under drop-the-losers (DTL) design
dtl_get_alpha_s_sim | Numerical significance level given a fixed correlation coefficient for the final stage under drop-the-losers (DTL) design
dtl_shiny | Shiny app of drop-the-losers (DTL) design
dtl_sim_stat | Generate normal approximated test statistics for drop-the-losers (DTL) design
dtl_tier_sim | Simulated family-wise type I error rate (FWER) given a fixed correlation coefficient under drop-the-losers (DTL) design
dtl_tier_the | Theoretical family-wise type I error rate (FWER) given a fixed correlation coefficient under drop-the-losers (DTL) design
sel_g_func_default | Default arm-select function