Stephen Haslett is Professor and Director of the Statistical Consulting Unit. He is a Fellow of the Royal Statistical Society, a Chartered Statistician (UK), and formerly President of the New Zealand Statistical Association and Managing Editor of the Australian and New Zealand Journal of Statistics. Stephen has been a statistical consultant for over 30 years during which time he has published over 100 academic papers and written more than 120 research and consulting reports.
His published papers are in a wide range of journals including Mathematical Statistics, Medicine, Health Sciences, Psychology, Human Development, Political Science, History, the Humanities, Social Sciences, Zoology, Botany, Marine Biology, Ecology, Economics, Veterinary Science, Horticulture, Agriculture, Labour Relations, Financial Auditing, Criminology, Geology, Epidemiology, Law, Business, Developmental Psychology, Sociology, Linguistics, and Education.
Over the last ten years he has been principal statistician in a range of large scale statistical modelling projects for small area estimation of poverty and of undernutrition in children for the United Nations in Bangladesh, Bhutan, Cambodia, Indonesia, Nepal, Philippines, and Timor-Leste. He has also been involved extensively in research in Kiribati, Samoa, Solomon Islands, Tonga and Vanuatu, as well as in Finland, New Zealand, UK and USA.
Beck, K.L, Jones, B., Ullah, I., McNaughton, S.A., Haslett, S. and Stonehouse, W. (2017). Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: an analysis of data from the 2008/09 New Zealand Adult Nutrition Survey. European Journal of Nutrition, DOI: 10.1007/s00394-017-1421-3.
Bilton, P., Jones, G., Ganesh, S. & Haslett, S. (2017). Classification trees for poverty mapping. Computational Statistics and Data Analysis, 115: 53-66. DOI: 10.1016/j.csda.2017.05.009
Corbin, M., Haslett, S., Pearce, N., Maule, M. & Greenland, S. (2017). A comparison of sensitivity-specificity imputation, direct imputation and fully Bayesian analysis to adjust for exposure misclassification when validation data are unavailable. International Journal of Epidemiology, 46(3): 1063-1072. DOI: 10.1093/ije/dyx027.
Richardson, A., Neeman, T., Yoon, H., Haslett, S. (2017). Statistical response to issues with the determination of the troponin 99th percentile. Clinical Biochemistry. In Press. DOI: 10.1016/j.clinbiochem.2017.08.007.
Smith, H. A. & Haslett, S. J. (2016). Children’s rights in education research: from aims to outcomes. Cambridge Journal of Education, 47(3): 413-438. DOI: 10.1080/0305764X.2016.1190316.
Isidro, M., Haslett, S. & Jones, G. (2016) Extended Structure Preserving Estimation (ESPREE) for updating small area estimates of poverty, The Annals of Applied Statistics, 10(1), 451–476, DOI: 10.1214/15-AOAS900.
Haslett, S. (2016) Small area estimation using both survey and census unit record data: links, alternatives, and the central roles of regression and contextual variables, Chapter 18 in Small Area Estimation, ed. M. Pratesi, Wiley.
Haslett, S. (2016) Positive semidefiniteness of estimated covariance matrices in linear models for sample survey data, Special. Matrices; 4, 218–224.
Smith, H.A & Haslett, S.J. (2016) Design and implementation issues in surveying the views of young children in ethnolinguistically diverse developing country contexts, International Journal of Research & Method in Education, 39(2), 131-150, DOI 10.1515/spma-2016-0020.
Smith, H.A & Haslett, S.J. (2016) Children’s rights in education research: from aims to outcomes, Cambridge Journal of Education, in press, DOI: 10.1080/0305764X.2016.1190316.
Burja, K., Haslett, S., Hollema, S, Jones, G, Kabir, K, & Rader, C. (2016) Why highly disaggregated undernutrition maps are vital in the Sustainable Development Goal Era, Panel 8.4, pages 107, 143, 147, 148, 152. In International Food Policy Research Institute. 2016. Global Nutrition Report 2016: From Promise to Impact: Ending Malnutrition by 2030. Washington, DC, ISSN: 2380-6443.
Smith, P., Renner, R. and Haslett, S. (2016) Compositional Data in Neuroscience: If You've Got It, Log it! Journal of Neuroscience Methods, 271, 154-159.
Haslett, S.J., Puntanen, S. and Arendacká, B. (2015). The link between the fixed and mixed linear models revisited, Statistical Papers, 56 (3), 849-861, DOI 10:1007/s00362-014-0611-9.
Adhikari, S.K., Ralph E. H. Sims, R.E.H, Haslett, S., Murray, P., Stewart-Withers, R. (2015) Improving biogas production efficiency through co-digestion of cattle dung with crop residues: A case study in Nepal, Proceedings of the 9th International Conference on Sensing Technology (ICST), p 803-810, IEEE, DOI: 10.1109/ICSensT.2015.7438507, ISBN:978-1-4799-6313-3.
Haslett, S. J., Isotalo, J., Liu, Y. and Puntanen, S. (2014). Equalities between OLSE, BLUE and BLUP in the linear model, Statistical Papers, 55, 543-561, DOI: 10.1007/s00362-013-0500-7.
Haslett, S., Jones, G., Isidro, M., and Sefton, A. (2014) Small Area Estimation of Food Insecurity and Undernutrition in Nepal, Central Bureau of Statistics, National Planning Commissions Secretariat, UN World Food Programme, UNICEF, and World Bank, Kathmandu, Nepal, December 2014, 154 pages, ISBN: 978-9937-3000-976.
Haslett, S. Jones, G. and Isidro, M. (2014) Small-Area Estimation of Child Undernutrition in Bangladesh, Bangladesh Bureau of Statistics, United Nations World Food Programme and International Fund for Agricultural Development, November 2014, 76 pages, ISBN 978-984-33-9085-1.
Smith, P. F., Haslett, S and Zheng, Y. (2013) A multivariate statistical and data mining analysis of spatial memory-related behaviour following bilateral vestibular loss in the rat, Behavioural Brain Research 246 (2013) 15- 23.
Haslett, S., Jones, G. and Sefton, A. (2013) Small-area Estimation of Poverty and Malnutrition in Cambodia, National Institute of Statistics, Ministry of Planning, Royal Government of Cambodia, and the United Nations World Food Programme, June 2013, 88 pages, ISBN 9789996375507, http://www.wfp.org/content/cambodia-small-area-estimation-poverty-and-malnutrition-april-2013
Haslett, S. and Govindaraju, K. (2012) Data cloning: data visualisation, smoothing, confidentiality, and encryption, Journal of Statistical Planning and Inference, 142(2), 410-422, DOI: 10.1016/j.jspi.2011.07.020.
Haslett, S (2012) Practical guidelines for design and analysis of sample surveys for small area estimation, Special Issue on Small Area Estimation, Journal of the Indian Society of Agricultural Statistics, 66(1), 203-212, http://www.isas.org.in/jisas/jsp/onlinejournal.jsp.
Smith, H. and Haslett, S. (2012) Issues for capacity building in Pacific Primary schools, 2012 International Development Conference, Auckland, New Zealand, 3-5 December 2012, http://www.devnet.org.nz/sites/default/files/Haslett,%20Stephen%20&%20Smith,%20Hilary%20Issues%20for%20capacity%20building%20in%20Pacific%20primary%20schools%20[presentation]_0.pdf
Frederick, H., Haslett, S., Wolfgramm, T.‚ Finau, A. (2011) Measuring entrepreneural activity in low-teledensity countries, Int. J. Business and Globalisation, 6(3/4), 251-291.
Haslett, S and Puntanen, S. (2011) On the equality of BLUPs under two linear mixed models, Metrika, 74 (3) 381-395.
Haslett, S and Puntanen, S. (2010) Equality of the BLUEs and/or BLUPs under two linear models using stochastic restrictions, Statistical Papers, Springer, 51, 465-475.
Fairburn. M. and Haslett, S. (2010) Who voted for Massey 1908-1914? In A Great New Zealand Prime Minister? Reappraising William Ferguson Massey, edited by James Watson and Lachy Paterson, Otago University Press, 61-76 & 146-149.
Haslett, S. Isidro, M. and Jones, G. (2010) Comparison of survey regression techniques in the context of small area estimation of poverty, Survey Methodology, 36 (2), 157-170.
Haslett, S. and Jones, G. (2010) Small area estimation of poverty: the aid industry standard and its alternatives, Australian and New Zealand Journal of Statistics, 52 (4), 341-362.
Haslett, S and Puntanen, S. (2010) Effect of adding regressors on the equality of the BLUEs under two linear models, Journal of Statistical Planning and Inference, 140, 104-110, Springer.
Haslett, S., Jones, G. Noble, A. and Ballas, D. (2010) More for less? Using existing statistical modeling to combine existing data sources to produce sounder, more detailed, and less expensive, Official Statistics Report Series, 5, ISSN 1177-5017, 2010, 75 pages, http://www.statisphere.govt.nz/official-statistics-research/series/2010/page1.aspx
Isidro, M, Haslett, S. and Jones, G. (2010) Extended Structure-Preserving Estimation Method for Updating Small-Area Estimates of Poverty, Joint Statistical Meetings, Proceedings of the American Statistical Association 2010, Vancouver, Canada, http://www.amstat.org/meetings/jsm/2010/onlineprogram
Healey, B. Gendall, P. and Haslett, S. (2009) The nature and extent of postal survey noncontact: implications for survey practice, Australasian Journal of Market and Social Research, 17(2), 31-48.
Haslett, S. and Govindaraju. K. (2009) Cloning data: generating datasets with exactly the same multiple linear regression fit, Australian and New Zealand Journal of Statistics, 51(4), 499-503.
Haslett, S. and Hedderley, D. (2008) Comment on "A better estimate of the number of valid signatures on a petition", Letters to the Editor: The American Statistician, 62(3), 278. August 2008.
Govindaraju, K, and Haslett, S. (2008) Illustration of regression toward the means, International Journal of Mathematical Education in Science and Technology, 39(4), 2008, 544-550.
O'Keefe, C. M., Haslett, S. Steel, D. and Chambers, R. (2008) Table builder problem - confidentiality for linked tables, Proceedings of the 2008 Mathematics and Statistics Industry Study Group, edits: Marchant, T., Edwards, M. and Mercer, G., MISG2008, University of Wollongong, ISBN 978-0-646-50544-2, 2008, pp12-22.
Haslett, J. and Haslett, S. (2007) The Three Basic Types of Residuals for a Linear Model, International Statistical Review, 75(1), 1-24.