PhD Studentship - Joint Modelling of Longitudinal and Time-to-Event Data

Deadline: All year

Positions available: 1

How to apply: uom.link/pgr-apply

This 4 year PhD project is fully funded by the Department of Mathematics. The successful applicant will receive a tax free (depending on circumstance) annual stipend set at the UKRI rare (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year.

Joint modeling of longitudinal and time-to-event outcomes is a statistical approach that simultaneously analyzes the relationship between a longitudinal outcome (such as repeated measurements over time) and a time-to-event outcome (like survival time or time to a specific event). The key idea is to account for the correlation between the two outcomes, as the longitudinal data can provide valuable information about the timing and risk of the event. For example, in a clinical study of patients with diabetes, the longitudinal outcome could be the progression of HbA1c levels (a marker of blood sugar control), and the time-to-event outcome could be the time until the patient develops diabetic complications (e.g., kidney failure). Joint modeling allows for more accurate estimation of the effects of blood sugar control on the risk of complications, adjusting for both the observed longitudinal trajectory and the event time.

Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in Statistics, Data Science, or Biostatistics.

To apply, please contact, Dr Taban Baghfalaki taban.baghfalaki@manchester.ac.uk. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.

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