Dr Krishnan Bhaskaran MSc PhD

Senior Lecturer in Statistical Epidemiology


I graduated from Sheffield University with a BSc Hons in Mathematics in 1999 and took an MSc in Medical Statistics at Leicester University in 2000-2001. I worked for 6 years at the MRC Clinical Trials Unit, on a variety of HIV trials and observational studies, with an emphasis on HIV seroconverters (individuals with well estimated dates of HIV infection). In October 2010, on gaining my PhD at LSHTM for a project looking at environmental risk factors for heart disease, I joined the department as a lecturer, and later senior lecturer. I currently hold a National Institute for Health Research postdoctoral fellowship, and work principally on cancer epidemiology and pharmacoepidemiology.




I am the course director for the Short Course in Practical Pharmacoepidemiology. I teach on Extended Epidemiology, Statistical Methods for Epidemiology (SME) and Advanced Statistical Methods for Epidemiology (ASME). I also teach basic statistics on the UCL undergraduate medicine course.


My main areas of interest are pharmacoepidemiology and cancer epidemiology. I am currently working on a National Institute for Health Research postdoctoral fellowship programme which combines these interests in a series of pharmacoepidemiological studies looking at the unintended effects of drug treatments on long-term cancer risk. I am also involved in looking at the long-term health of people who have had cancer in the past.

I have an ongoing interest in the use of eHealth data and am part of a wider group at LSHTM working with large-scale routinely collected data such as the Clinical Practice Research Datalink (CPRD) primary care data.

I am also interested in the application of novel or non-standard statistical methods to real clinical problems: a current interest is whether marginal structural modelling and related methods can help to disentangle the effects of drugs from the effects of underlying disease in observational diabetes research, i.e. to tackle time-varying confounding by indication.

Research areas

  • Electronic health records
  • Medicines
  • Statistical methods


  • Epidemiology
  • Pharmacoepidemiology
  • Statistics

Disease and Health Conditions

  • Cancer
  • Diabetes
  • Obesity
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