Royston and Babiker (2002) presented a menu-driven Stata program for the calculation of sample size or power for complex clinical trial designs under a survival time or binary outcome. In the present article, the package is updated to Stata 8 under the new name ART. Furthermore, the program has been extended to incorporate noninferiority designs and provides more detailed output. This package is the only realistic sample size tool for survival studies available in Stata
This article describes a new Stata command called simontwostage, which calculates the critical value...
This article describes a new Stata command called simontwostage, which calculates the critical value...
Progression-free survival (PFS) is frequently used as the primary endpoint in phase II and III studi...
Royston and Babiker (2002) presented a menu-driven Stata program for the calculation of sample size ...
We present a menu-driven Stata program for the calculation of sample size or power for complex clini...
A menu-driven facility for complex sample size calculation in randomized controlled trials with a su...
We present menu- and command-driven Stata programs for the calculation of sample size, number of eve...
Barthel, Royston, and Parmar (2009, Stata Journal 9: 505–523) presented a menu-driven Stata program ...
In 2005, Barthel, Royston, and Babiker presented a menu-driven Stata program under the generic name ...
Selection trials are used to compare potentially active experimental treatments without a control ar...
This paper presents a computer program for use in the design of long-term clinical trials with multi...
When designing a cancer clinical trial, it is usual to assume an exponential distribution for a time...
A Computer Program for Sample Size and Power Calculations in the Design of Multi-arm and Factorial C...
The main goal of this master thesis is to compute the sample size of the OPTIMAL study (OPTimizing I...
Researchers routinely compute desired sample sizes of clinical trials to control type-i and type-ii ...
This article describes a new Stata command called simontwostage, which calculates the critical value...
This article describes a new Stata command called simontwostage, which calculates the critical value...
Progression-free survival (PFS) is frequently used as the primary endpoint in phase II and III studi...
Royston and Babiker (2002) presented a menu-driven Stata program for the calculation of sample size ...
We present a menu-driven Stata program for the calculation of sample size or power for complex clini...
A menu-driven facility for complex sample size calculation in randomized controlled trials with a su...
We present menu- and command-driven Stata programs for the calculation of sample size, number of eve...
Barthel, Royston, and Parmar (2009, Stata Journal 9: 505–523) presented a menu-driven Stata program ...
In 2005, Barthel, Royston, and Babiker presented a menu-driven Stata program under the generic name ...
Selection trials are used to compare potentially active experimental treatments without a control ar...
This paper presents a computer program for use in the design of long-term clinical trials with multi...
When designing a cancer clinical trial, it is usual to assume an exponential distribution for a time...
A Computer Program for Sample Size and Power Calculations in the Design of Multi-arm and Factorial C...
The main goal of this master thesis is to compute the sample size of the OPTIMAL study (OPTimizing I...
Researchers routinely compute desired sample sizes of clinical trials to control type-i and type-ii ...
This article describes a new Stata command called simontwostage, which calculates the critical value...
This article describes a new Stata command called simontwostage, which calculates the critical value...
Progression-free survival (PFS) is frequently used as the primary endpoint in phase II and III studi...