Successful Statistical Strategies for Patient Screening and Stratification

The outcome of clinical trials is often determined by the quality of the data gathered; however, the strategy for statistical analysis can be crucial for success. By considering the value of data available throughout every stage of a cognitive study, the potential to detect an efficacy signal can be increased.

In this webinar, we explore how purposeful consideration of statistical analysis can drive efficiencies throughout your study, from pre-screening strategies to identify and recruit a homogenous target population, to stratification of patients to improve the signal-to-noise ratio.

You will learn:

• How to integrate statistical planning into a cognitive study design
• Pre-screening, patient stratification, and when they have the most benefit
• Deep dive into how a successful statistical strategy has supported a clinical study

Speaker

Elizabeth Baker, PhD, Director of Statistical Science, Cambridge Cognition

Working with pharmaceutical, biotechnology and academic clients, Elizabeth develops statistical analysis protocols for the analysis of cognitive endpoints in clinical trials and observational research studies. Since joining Cambridge Cognition in 2017, Elizabeth has supported the development of clinical trial enrichment tools, implemented Bayesian methodologies and conducted statistical analysis across a range of clinical trial designs and CNS disorders.

Elizabeth has a keen interest in the application of longitudinal analysis techniques and machine learning to clinical cohorts and is a fellow of the Royal Statistical Society. Elizabeth received her PhD in Biostatistics and Health Informatics from King’s College London.

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