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Applied statistics has a rich history at Reading: numerous methodological developments by researchers in this group have given rise to important impacts in a wide range of applications.

Our current research continues in this tradition, with the development of new statistical methods for analysis of large and complex data sets being increasingly important in the current era of "big data".


Current research interests are predominantly:

Medical statistics (Professor Sue Todd, Dr Fazil Baksh)

In recent years there has been considerable interest in accelerating and refining the drug development process. Statistical innovations in trial design have led to the availability of new approaches to address these objectives.

Our group at Reading is primarily involved in the development of methodology within the fields of adaptive designs, in particular adaptive seamless designs & group-sequential trials, pharmacogenetics and pharmacokinetics.

We have strong research links with other academic groups in this field including those based at the Universities of Warwick, Sheffield and Leeds. We also collaborate with both the pharmaceutical industry and public sector institutions. 


Statistical genetics (Dr Fazil Baksh)

Recent developments in whole genome sequencing have led to an explosion in the availability of genetic data. The main challenge is now in drawing inferences from these data. Our group develops methods for achieving this, and uses such methods in applied studies.

Areas of particular interest are genome-wide association studies and family and population genetics for whole genome data.


Emeritus Professor

Professor Robert N Curnow

Former group members

  • Dr Richard Everitt
  • Dr Claudia Neves