Dr Claudia Liliana Rivera Rodriguez
Research | Current
My research interests follow three general themes. They are highly motivated by my PhD and my post-doctoral research experiences. My main interest focuses on two-phase sampling designs and its application to the solution of different statistical issues. Currently I am particularly interested in developing a valid statistical inference methodology that admits clustered correlated data or non-independent sampling designs. In addition to this, I am also interested in the asymptotic properties of these estimators. This is achieved with the help of empirical processes, which allow for more complex situations. My second statistical research interest is the study of efficiency for semi parametric estimators. This has been driven by the use of Cox model, and because it is necessary to quantify the loss that can result from considering semi--parametric models. My third research interest is more practical. It involves proposing strategies that help investigators carry out survey sampling designs in non-ideal conditions, specially where several logistic issues have to be accounted for. This is particularly the case in studies conducted in developing countries. This part of my research is directed by collaborative research on immunization across different countries, with applications to Honduras and Brazil. In 2012, I was awarded the University of Auckland doctoral scholarship and in May 2015 I finished my PhD studies in Statistics. After completing my PhD I was offered a Research fellow position at the departments of Biostatistics and Epidemiology, at Harvard University. During this 2-3 year period, I undertook a series of research projects related to two-phase designs.
Teaching | Current
Please find potential postgraduate research topics HERE
2009- 2011 Scholarship from the Faculty of Sciences for academic performance, Colombia
2012 Summer Scholarship from The Institute of Applied and Pure Mathematics (IMPA), Rio de Janeiro, Brazil
2012- 2015 The University of Auckland Doctoral Scholarship, New Zealand
Areas of expertise
Two-phase designs, Sampling, Biostatistics and GEE models
Selected publications and creative works (Research Outputs)
- Rivera-Rodriguez, C. L., Resch, S., & Haneuse, S. (2018). Quantifying and reducing statistical uncertainty in sample-based health program costing studies in low- and middle-income countries. SAGE open medicine, 610.1177/2050312118765602
- Rivera, C., & Lumley, T. (2016). Using the whole cohort in the analysis of countermatched samples. Biometrics, 72 (2), 382-391. 10.1111/biom.12419
Other University of Auckland co-authors: Thomas Lumley
- Rivera Rodriguez, C. L. (2015). Weighted likelihood and calibration for countermatched designs The University of Auckland. ResearchSpace@Auckland.