meeting_probs: Probabilities of meeting positivity threshold under target HR

In monitOS: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers

Probabilities of meeting positivity threshold under target HR

Description

Probabilities of meeting positivity threshold under target HR

Usage

meeting_probs(summary, lhr_pos, lhr_target = 1, rand_ratio = 1)

Arguments

summary	DataFrame. Summary dataframe from bounds.R
lhr_pos	List. Log HRs for positive threshold
lhr_target	Scalar. Target log HR to calculate the probability of meeting positivity thresholds
rand_ratio	Integer. If patients are randomized k:1 between experimental intervention and control, rand_ratio should be inputted as k. Example: if patients are randomized 1:1 between experimental and control, k=1. If patients are randomized 2:1 between experimental and control, k=2.

Value

Array. Probabilities of meeting positivity threshold under target HR

monitOS documentation built on May 29, 2024, 8:29 a.m.