Dr Claudia Liliana Rivera Rodriguez

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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.  

Postgraduate supervision

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., Spiegelman, D., & Haneuse, S. (2019). On the analysis of two-phase designs in cluster-correlated data settings. Statistics in medicine10.1002/sim.8321
  • Rivera-Rodriguez, C., Haneuse, S., Wang, M., & Spiegelman, D. (2019). Augmented pseudo-likelihood estimation for two-phase studies. Statistical methods in medical research10.1177/0962280219833415
  • Rivera-Rodriguez, C., Toscano, C., & Resch, S. (2019). Improved calibration estimators for the total cost of health programs and application to immunization in Brazil. PloS one, 14 (3)10.1371/journal.pone.0212401
  • 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
  • Haneuse, S., & Rivera-Rodriguez, C. (2018). On the analysis of case–control studies in cluster-correlated data settings. Epidemiology, 29 (1), 50-57. 10.1097/EDE.0000000000000763
  • Rivera, C. L., & Lumley, T. (2016). Using the entire history in the analysis of nested case cohort samples. Statistics in medicine, 35 (18), 3213-3228. 10.1002/sim.6917
    Other University of Auckland co-authors: Thomas Lumley
  • 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.
    URL: http://hdl.handle.net/2292/27300

Contact details

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Primary office location

SCIENCE CENTRE 303 - Bldg 303
Level 3, Room 329
New Zealand

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