Laura Güdemann is a Biostatistician and Research Associate at the University of Exeter Medical School, specialising in causal inference methods for evaluating type 2 diabetes treatments in real-world healthcare settings.
Her research improves the reliability of observational studies for underrepresented groups, such as older/frail adults and those with complex health needs, often excluded from clinical trials. She has developed a statistical framework using instrumental variable methods to estimate causal treatment effects and address bias from unmeasured confounding and missing data. This enables more accurate assessments of treatment safety and effectiveness, generating high-quality evidence clinicians can use for more targeted, individualised decisions. Her work addresses gaps left by clinical trials and supports better outcomes through precision medicine in type 2 diabetes.
She has conducted simulation studies and real-world applications of this framework, including evaluating outcomes of SGLT2 inhibitors in older adults. Her BRC Translational Fellowship aims to validate and refine the framework for advanced observational research, using trial emulation and benchmarking against randomised controlled trials. She is also exploring AI-based approaches to identify novel instrumental variables and broaden the framework’s applicability.
Research projects that Laura has been involved in
Diabetes
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