Associate Professor Robert Clark
Biography
Dr Robert Clark is an Associate Professor in the Research School of Finance, Actuarial Studies and Statistics. He has extensive experience in sample surveys, statistical ecology, and applied statistics, both in research and in significant consulting projects. He has been a statistical consultant, researcher and teacher for over 25 years, including leadership roles in the Australian Bureau of Statistics, the University of Wollongong (UOW) and the ANU.
Robert is an Accredited Statistician, and an Elected Member of the International Statistical Institute. He has been an invited speaker at conferences held by the Australian, Canadian and American Statistical Associations, and he delivered the 2011 Ken Foreman lecture for the Statistical Society of Australia. He has been an associate editor for four journals including the Journal of the Royal Statistical Society Series A. He holds degrees from the University of Queensland, ANU and UOW.
Academic outputs include a major textbook on model-based survey sampling, 24 peer-reviewed journal articles and two book chapters. Robert has attracted substantial research income in major contracts and grants including an ARC linkage grant, a Statistics New Zealand (NZ) official statistics research grant, and research projects for the a variety of Australian and NZ organisations.
Publications
- Ford, K, Wallis, I, Kulheim, C et al. 2020, 'New approaches to tannin analysis of leaves can be used to explain in vitro biological activities associated with herbivore defence', New Phytologist, vol. 225, no. 1, pp. 488-498.
- Martin, S, Youngentob, K, Clark, R et al. 2020, 'The distribution and abundance of an unusual resource for koalas (Phascolarctos cinereus) in a sodium-poor environment', PLOS ONE (Public Library of Science), vol. 15, no. 6, pp. e0234515.
- Clark, R 2020, 'Model-assisted sample design is minimax for model-based prediction', Survey Methodology, vol. 46, no. 1, pp. 77-91.
- Clark, R 2020, 'Maximum likelihood estimation for outcome-dependent samples', Australian and New Zealand Journal of Statistics, vol. 62, no. 1, pp. 49-70.
- Au, J, Clark, R, Allen, C et al. 2019, 'A nutritional mechanism underpinning folivore occurrence in disturbed forests', Forest Ecology and Management, vol. 453, pp. 1-8.
- Vette, K, Bareja, C, Clark, R et al 2018, 'Establishing thresholds and parameters for pandemic influenza severity assessment, Australia', Bulletin of the World Health Organization, vol. 96, no. 8, pp. 558-567.
- Murray, C, Clark, R, Mendolia, S et al 2018, 'Direct Measures of Intergenerational Income Mobility for Australia', Economic Record, vol. 94, no. 307, pp. 445-468.
- Clark, R, Kokic, P & Smith, P 2017, 'A comparison of two robust estimation methods for business surveys', International Statistical Review, vol. 85, no. 2, pp. 270-289.
- Clark, R & Barr, M 2017, 'A blended link approach to relative risk regression', Statistical Methods in Medical Research, vol. Online, pp. 15pp..
- Clark, R 2016, 'Statistical efficiency in distance sampling', PLOS ONE (Public Library of Science), vol. 11, no. 3, pp. 1-24pp.
- Clark, R & Molefe, W 2015, 'Model-assisted optimal allocation for planned domains using composite estimation', Survey Methodology, vol. 41, no. 2, pp. 377-387pp.
- Lago, L & Clark, R 2015, 'Imputation of Household Survey Data Using Linear Mixed Models', Australian and New Zealand Journal of Statistics, vol. 57, no. 2, pp. 169-187.
- Molefe, W, Shandodoyin, D & Clark, R 2015, 'An approximation to the optimal subsample allocation for small areas', Statistics in Transition, vol. 16, no. 2, pp. 163-182pp.
- Clark, R & Steel, D 2014, 'Potential gains from using unit level cost information in a model-assisted framework', Survey Methodology, vol. 40, no. 2, pp. 231-242pp.
- Clark, R & Templeton, R 2014, 'Sampling the Maori Population using Proxy Screening, the Electoral Roll and Disproportionate Sampling in the New Zealand Health Survey', in Roger Tourangeau, Brad Edwards, Timothy P. Johnson, Kirk M. Wolter, Nancy Bates, (ed.), Hard-to-survey populations, Cambridge University Press, Cambridge, pp. 468-484pp.
- Clark, R 2013, 'Sample design using imperfect design data', Journal of Survey Statistics and Methodology, vol. 1, no. 1, pp. 6-23pp.
- Clark, R, Templeton, R & McNicholas, A 2013, 'Developing the design of a continuous national health survey for New Zealand', Population Health Metrics, vol. 11, no. 1, pp. 25 (11pp).
- Clark, R & Steel, D 2011, 'Conditional and unconditional models in model-assisted estimation of finite population totals', Pakistan Journal of Statistics, vol. 27, no. 4, pp. 529-541.
- Clark, R & Allingham, S 2011, 'Robust Resampling Confidence Intervals for Empirical Variograms', Mathematical Geosciences, vol. 43, no. 2, pp. 243-259pp.
- Thomas, A, Milham, P, Morrison, R et al 2011, 'Oxygen Exchange During the Reaction of POCl3 and Water', Australian Journal of Chemistry, vol. 64, no. 10, pp. 1360-1365pp.
- Al-Zou'bi, L, Clark, R & Steel, D 2010, 'Adaptive inference for multi-stage survey data', Communications in Statistics - Simulation and Computation, vol. 39, no. 7, pp. 1334-1350.
- Steel, D & Clark, R 2007, 'Person-level and household-level regression estimation in household surveys', Survey Methodology, vol. 33, no. 1, pp. 51-60.
- Smyth, G, Chakraborty, S, Clark, R et al 1992, 'A stochastic model for anthracnose development in stylosanthes scabra', Phytopathology, vol. 82, no. 1, pp. 1267-1272.
Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- Prawn Sampling Review (Primary Investigator)
- Determining the effects of regeneration harvesting on habitat nutritional quality for koalas (Secondary Investigator)
