Dr Laura Bonnett PhD CStat SFHEA

My main research interest is statistical modelling, particularly the development, validation and implementation of clinical prediction models using state-of-the-art statistical methodology. I enjoy working with clinicians and the public to ensure that the outputs of statistical models are presented in a clinically meaningful and patient-friendly way. I lead the Department's Prediction Modelling Group and am part of the Faculty for a course at the University of Birmingham considering statistical methods for risk prediction and prognostic models.

I have considerable experience in undertaking and peer-reviewing systematic reviews and meta-analyses involving aggregate and individual participant data. I have some experience of undertaking network meta-analyses. In particular, I spent 2.5 years summarising all published literature (phase II and phase III studies) considering chemotherapy for people newly diagnosed with pulmonary tuberculosis.

My research focuses on chronic conditions. In particular, I have worked with data from people with epilepsy since 2008 and I am familiar with the Standard Versus New Antiepileptic Drug (SANAD) Study, the Multicentre Study of Early Epilepsy and Single Seizures (MESS), the Medical Research Council Antiepileptic Drug Withdrawal (MRC AED) Study, and the National General Practice Survey of Epilepsy (NGPSE). I have also worked with data from the Optimum Patient Care Research Database (OPCRD) for people with asthma and various cardiology datasets.