Photo of Dr Laura Bonnett

Dr Laura Bonnett PhD CStat FHEA

Tenure Track Fellow Biostatistics


Clinical Prediction Models

My main research interest is statistical modelling, particularly the development and validation 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 Faculty's Prognosis Research Group and am part of the Faculty for a course at Keele University considering statistical methods for risk prediction and prognostic models.

Systematic Reviews & Meta-Analysis

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.

Chronic Conditions

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.

Research Grants

Improving prediction of psychosis in ARMS using a clinically useful prognostic tool: IPPACT


October 2018 - December 2022

Predicting time to next event for patients with recurrent events Post Doctoral Research Fellowship for Laura Bonnett


December 2015 - November 2019

Discriminant Function Analysis for Longitudinal Data: Applications in Medical Research (DiALog)


October 2014 - September 2017