Ruth H Keogh

Ruth H. Keogh is a Professor in the Department of Medical Statistics at the London School of Hygiene & Tropical Medicine, within the Faculty of Epidemiology and Population Health. Her research centers on advanced statistical methodologies for causal inference, survival analysis, and handling missing data in longitudinal and registry-based studies. She applies these methods to critical public health issues, particularly in cystic fibrosis, tuberculosis, and COVID-19.

• University: London School of Hygiene & Tropical Medicine
• School: Faculty of Epidemiology and Population Health
• Department: Department of Medical Statistics
• Academic Rank: Professor

Her research interests include causal inference, survival analysis, measurement error correction, longitudinal data modeling, and the development of methods for observational studies. She has made significant contributions to the use of g-estimation, marginal structural models, landmarking, and multiple imputation techniques. Her applied work leverages large-scale datasets such as the UK Cystic Fibrosis Registry and OpenSAFELY platform.

The most recent publications highlight her ongoing focus on trial emulation, dynamic prediction, vaccine effectiveness, and diagnostic accuracy. These works span biostatistical methodology and real-world applications, demonstrating a strong integration of theory and practice in epidemiology and public health. She frequently collaborates with multidisciplinary teams on major studies including OpenSAFELY and CF-Trial Emulation Network.

• Scientific Awards: No awards mentioned in the provided text.

Dr. Keogh has advised or mentored numerous researchers, though specific student names are not listed. She has contributed to methodological guidance on handling missing data, measurement error, and survival modeling. Her work on dynamic prediction and model updating reflects a forward-looking approach to maintaining the relevance of statistical models in clinical practice. She is actively involved in research using electronic health records and national registries to answer pressing public health questions.