Enhancing Clinical and Real World Evidence Outcomes: A Macro for Advanced Multi-Block Randomization

Music City Center 

Randomization integrity is essential in clinical trials to ensure equitable treatment allocation and valid study outcomes. As trials become more complex and diverse in participant makeup, traditional randomization techniques often fall short. This paper introduces a sophisticated SAS macro that addresses these challenges by facilitating advanced multi-block randomization, essential for managing varied trial designs and patient groups. The macro simplifies the creation and management of multiple block sizes, ensuring robust and flexible study designs.
This abstract details the macro's implementation within a clinical trial setting, illustrating its efficiency and effectiveness in complex randomization scenarios. Additionally, the discussion extends to the macro's applicability in real world evidence (RWE) settings, underscoring its potential to adapt to varying data landscapes and contribute to more generalizable research findings. By enhancing randomization techniques, this macro serves as a critical tool for researchers and statisticians in both controlled and observational study environments, promoting improved rigor and relevance in biostatistical research.

Randomization Techniques

Clinical Trial Design

SAS Macro

Real World Evidence

Multi-Block Randomization 

Section for Statistical Programmers and Analysts