Regular biography
Christiana Charalambous is a Lecturer in Statistics at The University of Manchester, Department of Mathematics. Her research interests include statistical modeling and analysis, with a focus on areas such as joint modeling, survival analysis, and applications in public health. She has contributed to research on topics including infection history modeling and pain perception. Her work aligns with the United Nations Sustainable Development Goals, particularly SDG 3 and SDG 16. She is affiliated with the Digital Futures research beacon and has been involved in collaborative projects such as the Statistical Advisory Unit.
Scholar-generated biography
Christiana Charalambous is a statistician at The University of Manchester, specializing in statistical modeling and analysis. Her research focuses on developing advanced statistical methods for analyzing complex data, particularly in the fields of longitudinal and time-to-event data. She has contributed to the development of joint models that integrate multiple data types, such as longitudinal measurements and survival times, using techniques like copula models and latent class models. Her work also explores the application of these methods in biomedical contexts, including pain perception, chronic pain, and infectious diseases. Her research emphasizes the importance of modeling variability and uncertainty in biological processes.