Dr Sperrin is a lecturer in statistics at Lancaster University, and he also holds an honorary research fellowship at Manchester University. His research interests are varied, but are typically motivated by medical applications. In particular, he has worked on sparse methods for high dimensional data, mixture models, survival analysis and pre-clinical dose combination studies.
- Medical Statistics
- Sparse Methods for High Dimensional Data
- Mixture Models
- Survival Analysis
- Sperrin, M., Jaki, T., ( 2010 ). Direct effects testing: A two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response . Statistics in Medicine 29, 2544–2556
- Sperrin, M., Jaki, T., Wit, E., ( 2010 ). Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models . Statistics and Computing, 20, 357–366