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The Australian National University

Dr Glenys Bishop

Qualifications: 
PhD Biometry (University of Adelaide), Diploma Computing Science (University of Adelaide)
Background: 

Dr Glenys Bishop has a broad background in Applied Statistics in the areas of survey design and analysis and experimental design and analysis. She has collaborated with agricultural scientists, medical researchers and social scientists.

She worked for nine years as a statistical methodologist at the Australian Bureau of Statistics in the areas of survey design and analysis, data confidentiality and data linkage.

Prior to that Glenys was a Statistics lecturer at the University of Adelaide and at Bond University where she taught a variety of theoretical and applied Statistics subjects to both Mathematical Statistics majors and students from other degree programs. Glenys has had a keen interest in technology assisted learning techniques since the early 1970s and with the assistance of several teaching development grants has developed such learning aids as interactive programs that use dynamic illustrations of statistical concepts, a video on experimental design, and case studies for teaching agricultural and engineering students.

Glenys also collaborated with Biomathematics and Statistics Scotland in the development of SMART, an explorapedia for statistical techniques.

Glenys has served as President of the Canberra Branch of the Statistical Society of Australia.

Telephone: 
6125 2920

Recent Publications

Bishop, G.R. (2014) ‘Engaging research students in online statistics courses’, in MacGillivray, H., Martin, M. and Phillips, B. (eds) Topics from Australian Conference on Teaching Statistics: OZCOTS 2008-2012, Springer, 331-344..

Bishop, G.R. , Beebee, H., Goddard, E. & Rina A. (2013) ‘Appendix 1: seeing the trends in the data’, in Katrina Hutchison & Fiona Jenkins (eds) Women in Philosophy, Oxford University Press, New York.

Bishop, G.R. (2013) ‘Appendix 2: Statistical Analyses’, in Katrina Hutchison & Fiona Jenkins (eds) Women in Philosophy, Oxford University Press, New York.

Chipperfield, J.O., Bishop, G.R. and Campbell, P. (2011) Maximum Likelihood Estimation for Contingency Tables and Logistic Regression with Incorrectly Linked Data. Survey Methodology, 37, 13—24.

Bishop, G.R. (2009) Research Paper: Assessing the likely quality of Statistical Longitudinal Census Dataset, August 2009. Australian Bureau of Statistics, ABS Catalogue No: 1351.0.55.026.

Solon, R. and Bishop, G.R. (2009) Research Paper: A linkage method for the formation of the Statistical Longitudinal Census Dataset. Australian Bureau of Statistics, ABS Catalogue No: 1351.0.55.025.

Wright, J., Bishop, G.R. and Ayre, T. (2009) Research Paper: Assessing the quality of linking migrant settlement records to Census data. Australian Bureau of Statistics, ABS Catalogue No: 1351.0.55.027.

Bishop, G.R. and Khoo, J. (2007) Research Paper: Methodology of evaluating the quality of probabilistic linking. Australian Bureau of Statistic, ABS Catalogue No: 1351.0.55.018.

Conn, L. and Bishop, G.R. (2006) Research Paper: Exploring methods for creating a longitudinal census dataset, (Methodology Advisory Committee) November 2005. Australian Bureau of Statistics, ABS Catalogue No: 1352.0.55.076.

Bishop, G.R. (2000) Research Paper: Methodological issues associated with using BAS data for improving the sample design and estimation of business surveys (Methodology Advisory Committee). Australian Bureau of Statistics, ABS Catalogue No: 1352.0.55.034.

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