dtl_cor_the_PH_upper_bound: Theoretical upper bound of correlation coefficient between...

In dtlcor: Multiplicity Control on Drop-the-Losers Designs

Theoretical upper bound of correlation coefficient between time-to-event primary endpoint and binary surrogate endpoint

Description

Get theoretical upper bound of correlation coefficient

Usage

dtl_cor_the_PH_upper_bound(tau_k, pi_ar = 0.5, q, gamma)

Arguments

tau_k	Equals n/n_k, where n is the number of patients per treatment arm at the DTL look and n_k is the number of patients in both selected and control arms at the kth interim analysis.
pi_ar	Allocation rate of treatment and control (0.5 by default)
q	Response rate under the null
gamma	Hazards ratio of responders and non-responders

Value

Theoretical upper bound of correlation coefficient

Examples

dtl_cor_the_PH_upper_bound(tau_k = 0.4, pi_ar = 0.5, q = 0.3, gamma = 0.2)

dtlcor documentation built on June 8, 2025, 12:46 p.m.