Methodological and Other Research

Our Unit delivers on a range of methodological research.


Members of our Unit actively contribute to the discipline of health economics through developing new methods and techniques that can be used by other researchers. This methodological research program includes:

  • Improving the efficiency of data collection in clinical studies
  • Survey design and patient recall
  • Methodological research to improve economic evaluations
  • Input into funding processes across State and Federal bodies including the NHMRC and the Department of Health.

The Unit has also been undertaking some work on history of health economic thought including working on health economic pioneers such as Alexander Sutherland and Edgar Sydenstricker.


Understanding the drivers of trial efficiency

Patient reported outcomes: getting the timing right

Accuracy of patient recall for doctor visits: is shorter recall better

Review of child health economic evaluation modelling methods

Selected Publications

BLAKELY, T., Disney, G., Atkinson, J., Teng, A., & Mackenbach, J. P. (2017). A Typology for Charting Socioeconomic Mortality Gradients: "go Southwest". Epidemiology, 28(4): 594-603.

CLARKE, P., Herbert, D., Graves, N., & Barnett, A. G. (2016). A randomized trial of fellowships for early career researchers finds a high reliability in funding decisions. Journal of Clinical Epidemiology, 69, 147-151.

CLARKE, P., & ERREYGERS, G. (2016). Alexander Sutherland: A Forgotten Pioneer of Health Economics in Australia? Australian Economic Review,49(2), 169-173.

Kjellsson, G., CLARKE, P., & Gerdtham, UG. (2014). Forgetting to remember or remembering to forget: A study of the recall period length in health care survey questions. Journal of Health Economics, 35(1), 34-46.

SCHILLING, C., Dowsey, M., CLARKE, P., & Choong, P. (2016). Using Patient-Reported Outcomes for Economic Evaluation: Getting the Timing RightValue in Health.

SCHILLING, C., Mortimer, D., DALZIEL, K., Heeley, E., Chalmers, J., & CLARKE, P. (2016). Using Classification and Regression Trees (CART) to identify prescribing thresholds for cardiovascular disease. PharmacoEconomics,34(2), 195-205.