• Amber Salter, Charity Morgan, and Inmaculada B Aban.
• Department of Biostatistics, University of Alabama at Birmingham, School of Public Health, 1665 University Blvd., Room 327, Birmingham, AL 35294-0022, USA. Electronic address: asalter@uab.edu.
• Comput Methods Programs Biomed. 2015 Oct 1; 121 (3): 189-96.

Background And ObjectivesDose finding trials using model-based methods have the ability to handle the increasingly complex landscape being seen in clinical trials. Issues such as patient heterogeneity in trial populations are important to address in the designing of a trial in addition to the inclusion/exclusion criteria. Designs accommodating patient heterogeneity have been described using the continual reassessment method (CRM) and time-to-event CRM (TITE-CRM), yet, the implementation of these trials in practice have been limited. These methods and other model-based methods generally need statisticians to help design and conduct these trials. However, the statistical programs which facilitate the use of these methods, currently available focus on estimation in the one-sample case.MethodsA SAS program to accommodate two groups using the TITE-CRM and likelihood estimation has been developed. The program consists of macros that assist with the planning and implementation of a trial accounting for patient heterogeneity.ResultsDescription of the program is given as well as examples using the programs. For planning purposes, an example will be provided showing how the program can be used to guide sample size estimates for the trial.ConclusionsThis program provides researchers with a valuable tool for designing dose-finding studies to account for the presence of patient heterogeneity and conduct a trial using a hypothetical example.Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

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