Multiplicity Control on Drop-the-Losers Designs

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Documentation for package ‘dtlcor’ version 0.1.0

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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