Peter Kirwan

About

I’m a Research Associate at the MRC Biostatistics Unit in Cambridge. My PhD focussed on applications of multi-state models to estimate infectious disease burden, specifically HIV and COVID-19. My current research involves the development of multi-state "back-calculation" models to estimate HIV incidence and undiagnosed HIV prevalence.

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Statistical methods for survival data

This series of blog posts provides an introduction to statistical methods for survival data, with applications for infectious disease modelling and epidemiology. Topics include: classical survival methods, competing risks analysis, and causal inference from observational data.

Part I: Key concepts in infectious disease research

An overview of key concepts, introducing some of the challenges in estimating the burden of infectious disease.

Incidence Prevalence Severity Epidemiology

March 20, 2025

Part II: Survival analysis

An introduction to survival analysis, time-to-event data, and how we handle censored observations in epidemiological research.

Censoring Truncation Hazard function Survival function

March 27, 2025

Part III: Classical survival methods

Exploring two fundamental approaches to analysing survival data: non-parametric Kaplan-Meier estimation and semi-parametric Cox proportional hazards models.

Likelihood Survival models Kaplan-Meier Cox models

April 3, 2025