Karla Diaz-Ordaz BSc MSc PhD

Assistant Professor in Medical Statistics

Background

I have a PhD in Pure Mathematics from Imperial College London (Ergodic Theory) and a MSc in Medical Statistics from the London School of Hygiene and Tropical Medicine in September 2011. 

I worked at the Pragmatic Clinical Trial Unit, Centre for Primary Care and Public Health, Queen Mary, as part of a three-year NIHR Methods Fellowship in Medical Statistics.

I have also experience in cost-effectiveness analysis of cluster randomised trial data.

I currently hold an MRC Career Development Award in Biostatistics.

Affiliation

Centres

Teaching

I am a tutor on the School's short courses Statistical Analysis with Missing Data using Multiple Imputation and Inverse Probability Weighting and Causal Inference in Epidemiology: Recent Methodological Developments 

Research

I am interested in developing methods for estimating treatment effect when there is departures from protocol in a randomised trial (i.e. non-compliance and missing data) using Multiple Imputation. This work is in collaboration with Profs Michael Kenward and James Carpenter.  

 I also work in methods to analyse missing clustered data.  Currently, I study and compare the performance of different multiple imputation techniques to handle whole clusters non-response (empty clusters). 
 
I am also interest in extending such methods for cost-effectiveness analysis, accounting for the bivariate nature of the endpoints.

I am a member of the Centre for Statistical Methodology, and one of the co-ordinators of the missing data theme.

Research areas

  • Bayesian Analysis
  • Clinical trials
  • Complex interventions
  • Methodology
  • Statistical methods

Disciplines

  • Economics
  • Statistics

Other interests

  • Causal Inference
  • Clustered Data
  • Missing Data
  • Multiple Imputation
  • non-compliance
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