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Dr Bronwyn Loong

Dr Bronwyn Loong

Research School of Finance, Actuarial Studies & Statistics


Position:
Senior Lecturer
Email: bronwyn.loong@anu.edu.au
Phone: +61 2 612 57312
Office: Room 4.23, CBE Bld (26C)

Research areas

Actuarial studies; Statistics.

Biography

Bronwyn Loong is Senior Lecturer of Actuarial Studies and Statistics. Bronwyn conducts research in a variety of statistical areas.  Her research includes exploring how to modify data from confidential sources to protect disclosure risk whilst preserving its analytic validity. Bronwyn is also interested in the use of statistical methods to handle data that is missing detail or incomplete, maximising the utility of the data by minimising the likelihood and potential for loss of data. Bronwyn’s research interests extend to other disciplines including medicine, where she has written about the use of statistics and how they can help solve ‘real world problems’. Bronwyn’s research has been published in prominent academic journals including Statistics in Medicine, Annals of Actuarial Science and Critical Care and Resuscitation.

View ORCID profile

 

Research publications

William J, Loong B, Chojenta C and Loxton D. (2020) The profiles of public and private patients in maternal healthcare: a longitudinal study to examine adverse selection. Annals of Actuarial Science, Volume 14, Issue 1 March 2020, pp. 129-137. DOI: https://doi.org/10.1017/S1748499519000083

Kengen R, Thoonen E, Daveson K, Loong B, Rodgers H, Beckingham W, Kennedy S, Suwandarathne R and Van Haren F.  (2018). Chlorohexidine washing in intensive care does not reduce bloodstream infections, blood culture contamination and drug-resistant microorganism acquisition: an interrupted time-series analysis.  Critical Care and Resuscitation, 20(3), 231-240. 

Hoffman K, Loong B, Mitchell I and Van Haren F.  (2018).  Discrepancy between factors associated with long-term outcome in very old patients referred to the intensive care unit, and prevalence of treatment limitations.  Anaesthesia and Intensive Care, 46(3), 345-346.  

Loong B, Rubin DB.  (2017).  Multiply-imputed synthetic data: Advice to the imputer.  Journal of Official Statistics, 33(4), 1005-1019.

Hoffman, K, Loong, B and Van Haren F. (2016), 'Very old patients referred to the intensive care unit: long-term outcomes for admitted and declined patients'. Critical Care and Resuscitation, 18(3), 157-164

Chipperfield, J, Gow, D and Loong B.  (2016), 'The Australian Bureau of Statstics and releasing frequency tables via a remote server'.  Statistical Journal of the IAOS, 32(1), 53-64

 Loong, B, Zaslavsky, AM, He, Y & Harrington, DP (2013), 'Disclosure Control using Partially Synthetic Data for Large-Scale Health Surveys, with Applications to CanCORS'.  Statistics in Medicine, 32(24), 4139-4161.  

 Gupta, N, Loong, B & Leong, G (2012), 'Comparing and contrasting knowledge of pressure ulcer assessment, prevention and management in people with spinal cord injury among nursing staff working in two metropolitan spinal units and rehabilitation medicine training specialists in a three-way comparison', Spinal Cord, vol. 50, no. 2, pp. 159-164.

 O'Keefe, CM, Sparks, RS, McAullay, D & Loong, B (2012), 'Confidentialising Survival Analysis Output in a Remote Data Access System', Journal of Privacy and Confidentiality, vol. 4, no. 1, pp. 127-154.

 

Teaching

STAT1008 - Quantitative Research Methods

STAT3016/7016 - Introduction to Bayesian Data Analysis

 

Updated:   1 March 2017 / Responsible Officer:  CBE Communications and Outreach / Page Contact:  College Web Team