More about the webinar
A pivotal component for clinical trials is randomization i.e. the random assignment of patients to receive either the experimental treatment(s) or controls.
Without randomization, it can be difficult to ensure statistical comparability for the treatment and thus generate valid statistical estimates. Blinded randomization also prevents operational bias due to trialists’ expectations influencing treatment assignment.
However, randomization can take on different forms depending on the constraints present in a trial or preferred group characteristics of stakeholders.
For example, some larger interventions such as vaccines may require randomization on the level of region or hospital rather than per-subject. This “cluster randomization” has significant effects on the analysis strategy and resulting expected power for a given total sample size.
Therefore it is vital that the randomization strategy is considered carefully and integrated into the study design.
Once a randomization strategy is developed there is still the practical issue of implementation. A common issue is how to generate a randomization schedule that ensures statistical validity and blinding while maintaining certain preferred outcomes e.g. avoiding gender imbalance across groups, accounting for centers.
Randomization list algorithms such as block randomization are a key strategy to creating lists that can be used to generate appropriate group assignments over time.
Join us for this free webinar, as we discuss what randomization is and why it is important, some common types of randomization in clinical trials and their effect on analysis methods and power and how randomization list algorithms can be used to randomize subjects while taking account of issues such as centers or covariate imbalances.
