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frequentistSSD (version 0.1.1)

Screened Selection Design with Survival Endpoints

Description

A study based on the screened selection design (SSD) is an exploratory phase II randomized trial with two or more arms but without concurrent control. The primary aim of the SSD trial is to pick a desirable treatment arm (e.g., in terms of the median survival time) to recommend to the subsequent randomized phase IIb (with the concurrent control) or phase III. Though The survival endpoint is often encountered in phase II trials, the existing SSD methods cannot deal with the survival endpoint. Furthermore, the existing SSD won<80><99>t control the type I error rate. The proposed designs can <80><9c>partially<80><9d> control or provide the empirical type I error/false positive rate by an optimal algorithm (implemented by the optimal() function) for each arm. All the design needed components (sample size, operating characteristics) are supported.

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Install

install.packages('frequentistSSD')

Monthly Downloads

174

Version

0.1.1

License

GPL-2

Maintainer

Chia-Wei Hsu

Last Published

April 15th, 2022

Functions in frequentistSSD (0.1.1)

get_oc

Generate operating characteristics for Two-Stage Screened Selection Design for Randomized Phase II Trials with Time-to-Event Endpoints
optimal

Find optimal parameters
sample_size_3arm

Calculate the sample size for each arm
get_oc_3arm

Generate operating characteristics for Two-Stage Screened Selection Design for Randomized Phase II Trials with Time-to-Event Endpoints for 3 arms
sampsize_1stage_2arm

Calculate the sample size for each arm
sample_size

Calculate the sample size for each arm