Associate Professor Alice Richardson

Biography

I studied at Victoria University of Wellington, New Zealand, then at the Australian National University, Canberra. My PhD was on the statistical properties of robust methods of estimation for multilevel linear models.

I have twenty years of experience in teaching undergraduate statistics at the University of Canberra. During that time I also collaborated on quantitative research projects in every Faculty of the University. In 2016 I took up a position as biostatistician at the National Centre for Epidemiology & Population Health at the Australian National University. I became the Director of the SCU in October 2019.

My research interests are in linear models and robust statistics; statistical properties of data mining methods; applications of statistical methods to large data sets especially in population health and the biomedical sciences; and innovation in statistics education.

Research interests

Multilevel modelling

Statistical properties of computer intensive methods

Multiple imputation of missing data

Statistics education

Publications

• Egan, R, Zigarmi, D & Richardson, A 2019, 'Leadership Behavior: A Partial Test of the Employee Work Passion Model [IN PRESS]', Human Resource Development Quarterly.
• Zhao, Y, Richardson, A, Poyser, C et al 2019, 'Shift work and mental health: a systematic review and meta-analysis [IN PRESS]', International Archives of Occupational and Environ, vol. Online, pp. 1-31.
• Kim, S, Werner, P, Richardson, A et al 2019, 'Dementia Stigma Reduction (DESeRvE): Study protocol for a randomized controlled trial of an online intervention program to reduce dementia-related public stigma', Contemporary Clinical Trials Communications, vol. 14.
• Vaz Nery, S, Clarke, N, Richardson, A et al 2019, 'Risk factors for infection with soil-transmitted helminths during an integrated community level water, sanitation, and hygiene and deworming intervention in Timor-Leste ', International Journal for Parasitology, vol. 49, no. 5, pp. 389-396.
• Vaz Nery, S, Traub, R, McCarthy, J et al 2019, 'WASH for WORMS: A Cluster-Randomized Controlled Trial of the Impact of a Community Integrated Water, Sanitation, and Hygiene and Deworming Intervention on Soil-Transmitted Helminth Infections', American Journal of Tropical Medicine and Hygiene, vol. 100, no. 3, pp. 750-761.
• Strobel, N, McAuley, K, Matthews, V et al 2018, 'Understanding the structure and processes of care within primary health care delivery for young Indigenous children', Journal of Primary Health Care, vol. 10, no. 3, pp. 267-278pp.
• Hasan, M, Quazi, A & Richardson, A 2018, 'Dynamics in Child Undernutrition in Bangladesh: Evidence from Nationally Representative Surveys Between 1997 and 2014', Indian journal of public health, vol. 62, no. 2, pp. 82-88.
• Dunn, P, Carey, M, Farrar, M et al 2018, 'Introductory Statistics Textbooks and the GAISE Recommendations', The American Statistician, vol. 71, no. 4, pp. 326-335pp.
• Clarke, N, Clements, A, Amaral, S et al 2018, '(S)WASH-D for Worms: A pilot study investigating the differential impact of school- versus community-based integrated control programs for soil-transmitted helminths', PLoS Neglected Tropical Diseases, vol. 12, no. 5, pp. e0006389.
• Richardson, A, Joshy, G & D'Este, C 2018, 'Understanding statistical principles in linear and logistic regression', Medical Journal of Australia, vol. 208, no. 8, pp. 332-334.
• Olive, L, Abhayaratna, W, Byrne, D et al 2018, 'Do self-reported stress and depressive symptoms effect endothelial function in healthy youth? The LOOK longitudinal study', PLOS ONE (Public Library of Science), vol. 13, no. 4, pp. 13pp.
• Strobel, N, McAuley, K, Matthews, V et al 2018, 'Understanding the structure and processes of primary health care for young indigenous children', Journal of Primary Health Care, vol. 10, no. 3, pp. 1-12.
• Richardson, A, Badrick, T & Badrick, T 2018, 'All about love and big data', Journal of Laboratory and Precision Medicine, vol. 3, no. 78, pp. 1-3.
• Kim, S, Werner, P, Richardson, A et al 2018, 'What does the general public really want to know about dementia? A focus group study', Alzheimer's & Dementia, vol. 14, no. 7, pp. P994.
• Strobel, N, McAuley, K, Matthews, V et al 2018, 'Understanding the structure and processes of primary health care for young indigenous children', Journal of Primary Health Care, vol. 10, no. 3, pp. 267-278.
• Richardson, A 2018, Meet the Scientists: Dr Alice Richardson.
• Clarke, N, Llewellyn, S, Traub, R et al 2018, 'Quantitative Polymerase Chain Reaction for Diagnosis of Soil-Transmitted Helminth Infections: A Comparison with a Flotation-Based Technique and an Investigation of Variability in DNA Detection', American Journal of Tropical Medicine and Hygiene, vol. 99, no. 4, pp. 1033-1040.
• Lidbury, BA, Koerbin, G, Richardson, AM et al 2018, 'Integration of ISO15189 and external quality assurance data to assist the detection of poor laboratory performance in New South Wales', Pathology, vol. 50, no. 1, pp. D92.
• Richardson, A, Lewis, D, Kita, B et al 2018, 'Weighting of Orthostatic Intolerance Time Measurements with Standing Difficulty Score Stratifies ME/CFS Symptom Severity and Analyte Detection', Journal of Translational Medicine. 16:97 https://doi.org/10.1186/s12967-018-1473-z
• Richardson, A, Neeman, T, Yoon, H et al 2017, 'Statistical response to issues with the determination of the troponin 99th percentile', Clinical Biochemistry, vol. 50, no. 18, pp. 1332-1333.
• Witchalls, J, McDonald, C, Richardson, A et al 2017, 'Injury risk in specific body regions is associated with performance in the Army basic fitness assessment in Army staff cadets', 4th International Congress on Soldiers Physical Performance, ICSPP 2017, Elsevier, Australia, pp. S27-S30.
• Witchalls, J, McDonald, C, Richardson, A et al 2017, 'Injury risk in staff cadets is associated with performance in the Army basic fitness assessment and with gender', 4th International Congress on Soldiers Physical Performance, ICSPP 2017, Elsevier, Australia, pp. 2pp.
• Zahangir, M, Hasan, M, Richardson, A et al 2017, 'Malnutrition and non-communicable diseases among Bangladeshi women: an urban-rural comparison', Nutrition and Diabetes, vol. 7, no. 3, pp. 8pp.
• Bowman, S, McNevin, D, Venables, S et al 2017, 'Species identification using high resolution melting (HRM) analysis with random forest classification', Australian Journal of Forensic Sciences, vol. online, pp. 1-16pp.
• Bowman, S, McNevin, D, Venables, S et al 2017, 'Species identification using high resolution melting (HRM) analysis with random forest classification', Australian Journal of Forensic Sciences, vol. online, pp. 1-16pp.
• Wright, A, Lovett, R, Roe, Y et al 2017, 'Enhancing national data to align with policy objectives: Aboriginal and Torres Strait Islander smoking prevalence at finer geographic levels.', Australian Health Review, vol. Online, pp. 8pp.
• Hasan, M & Richardson, A 2017, 'How sustainable household environment and knowledge of healthy practices relate to childhood morbidity in South Asia: analysis of survey data from Bangladesh, Nepal and Pakistan', BMJ Open, vol. 7, no. 6, pp. e015019-e015019.
• Dunn, P, Carey, M, Farrar, M et al 2017, 'Introductory Statistics Textbooks and the GAISE Recommendations', The American Statistician, vol. 71, no. 4, pp. 326-335.
• Hasan, M & Richardson, A 2017, 'How sustainable household environment and knowledge of healthy practices relate to childhood morbidity in South Asia: Analysis of survey data from Bangladesh, Nepal and Pakistan', BMJ Open, vol. 7, no. 6, pp. e015019-e015019.
• Lidbury, BA, Koerbin, G, Richardson, A et al 2017, 'Integration of ISO 15189 and external quality assurance data to assist the detection of poor laboratory performance in NSW, Australia', Journal of Laboratory and Precision Medicine, vol. 2, no. 97, pp. 1-15.
• Richardson, A & Lidbury, B.A. 2017, 'Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines', BMC Medical Informatics and Decision Making, vol. 17, p. 121.
• Dunn, P, Carey, M, Richardson, A et al 2016, 'Learning the language of statistics: Challenges and teaching approaches', Statistics Education Research Journal, vol. 15, no. 1, pp. 8-27.
• Shellard, A, Naumovski, N, Connaughton, R et al 2016, 'Factors that influence health related quality of life in over-weight and obese adolescents', Journal of Nutrition & Intermediary Metabolism, vol. 4, pp. 18pp.
• Badrick, T, Richardson, A, Arnott, A, Lidbury, BA. 2016, 'The kinetics of haemoglobin and ferritin in longitudinal community patients with iron deficiency or hypoxia', Diagnosis, vol. 4, no. 1, pp. 7pp.
• Badrick, T, Richardson, A, Lidbury, BA. 2016, 'Response to article: serum total bilirubin concentrations are inversely associated with total white blood cell counts in an adult population', Annals Of Clinical Biochemistry, vol. 53, no. 3, pp. 412-414.
• Richardson, A, Signor, B, Lidbury, B.A, Badrick, T. 2016, 'Clinical chemistry in higher dimensions: machine-learning and enhanced prediction from routine clinical chemistry data', Clinical Biochemistry.
• Shang, G, Biggerstaff, B, Richardson, A, Lidbury,B.A. 2016, 'A simulation model to estimate the risk of transfusion-transmitted arboviral infection', Transfusion and Apheresis science, vol. online, pp. 1-7.
• Richardson, A, Dunn, P, McDonald, C et al 2015, 'CRiSP: An Instrument for Assessing Student Perceptions of Classroom Response Systems', Journal of Science Education and Technology, vol. 24, no. 4, pp. 432-447.
• Lewis, P, Richardson, A & Corliss, M 2015, 'Exploring Business Perceptions of the Compliance Costs of Regulation', Journal of Law and Governance, vol. 10, no. 2, pp. 16pp.
• Lidbury, B, Richardson, A, Badrick, T. 2015, 'Assessment of machine-learning techniques on large pathology data sets to address assay redundancy in routine liver function test profiles', Diagnosis, vol. 2, no. 1, pp. 41-51.
• Muskat, B, Muskat, M & Richardson, A 2014, 'How do Europeans travel in Australia? Examining cultural convergence in travel behaviour', Journal of Vacation Marketing, vol. 20, no. 1, pp. 55-64.
• Reynolds, G, Lewis, D, Richardson, A, Lidbury B.A. 2014, 'Comorbidity of postural orthostatic tachycardia syndrome and chronic fatigue syndrome in an Australian cohort', Journal of Internal Medicine, vol. 275, no. 4, pp. 409-417.
• Richardson, A, Dunn, P & Hutchins, R 2013, 'Identification and definition of lexically ambiguous words in statistics by tutors and students', International Journal of Mathematical Education in Science and Technology, vol. 44, no. 7, pp. 1007-1019.
• Dunn, P, Richardson, A, Oprescu, F et al 2013, 'Mobile-phone-based classroom response systems: Students' perceptions of engagement and learning in a large undergraduate course', International Journal of Mathematical Education in Science and Technology, vol. 44, no. 8, pp. 1160-1174.
• Dunn, P.K., Richardson, A., McDonald, C. and Oprescu, F. (2013). Mobile-phone-based classroom response systems: Students’ perceptions of engagement and learning in a large undergraduate course. International Journal of Mathematical Education in Science and Technology. DOI:10.1080/0020739X.2012.756548
• Shang, G, Easteal, S, Ohms, S et al 2013, 'Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining', Journal of Medical Virology, vol. 85, no. 8, pp. 1334-1339.
• Richardson, A., Shadabi, F. and Lidbury, B.A. (2010). Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. In Hirosh Takeda (ed.) E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010 Held as Part of WCC 2010 Brisbane, Australia, September 20 – 23, 2010 Proceedings, 226 - 227. Berlin: Springer.