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Dr Laura Bonnett PhD CStat FHEA

Senior Lecturer Health Data Science


In addition to teaching undergraduate, taught postgraduate and continuing professional development courses, I am Assessment Lead and Academic Integrity Officer for the MSc in Health Data Science.

Statistical Methods for Developing and Validating Risk Prediction Models

Patients and their care providers often want to know the risk of developing an (adverse) health outcome over time. Estimates of future risk ('prognosis') allow patients and their families to put a clinical diagnosis in context, and inform clinical decisions and treatment strategies. For this purpose there is a growing interest in risk prediction and prognostic models, which are statistical models that estimate an individual's outcome risk. This 3-day course provides a thorough foundation of statistical methods for developing and/or validating prognostic models in clinical research: Course link

Health Data Science Training Modules

A range of courses including clinical prediction models, survival analysis, logistic regression and a 3-day intensive introduction to statistics: Link to the homepage of courses

Modules for 2022-23

Advanced Biostatistics I - Joint Longitudinal & Survival Data Analysis and Prediction Modelling

Module code: DASC506

Role: Teaching


Module code: DASC500

Role: Teaching

Essential Skills for the Life Sciences 2

Module code: LIFE223

Role: Teaching


Module code: HEAL440

Role: Teaching

Introduction to Health Research, Data and Team Science

Module code: DASC501

Role: Module Co-ordinator

Introduction to Statistics

Module code: DASC502

Role: Teaching