Mrs Jessica Maree McLay

BSc (Statistics) BSc (Hons)(Statistics) MSc (Medical Statistics), University of Auckland

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Statistical Consultant

Biography

Jessica has been a practicing statistician for 9 years.  She has been with the Statistical Consulting Centre for 6 years.  Prior to this, she worked as a statistician and statistical programmer at the Peter MacCallum Cancer Centre, Melbourne.

Jessica provides statistical advice and assistance to other departments and schools within the University.  She works most commonly with staff and students from the Business School and the School of Psychology, but has helped people from all over the university.  Jessica is also available for consulting jobs external to the University, usually taking smaller sized external projects. Recent external work includes analysis for the Hearing House, the Deafness Notification Database, and Snowberry.

Jessica’s expertise:

  • Linear models: including regression models of all types (linear, generalised, logistic, Poisson, negative binomial), mixed models (random effects), and analysis of categorical data and survey data.
  • Simulation in R
  • Questionnaire and survey design
  • Structural equation modelling

Jessica also spends a lot of time with the COMPASS Research Centre (Faculty of Arts) where she has primarily done R programming for simulation projects

Research | Current

  • Microsimulation to identify vulnerable children in NZ
  • Relationship between antibiotics during pregnancy and early childhood and obesity

Distinctions/Honours

BSc (Honours) with First Class Honours

MSc with First Class Honours

Postgraduate Tuition Fees Bursary - Science

UoA Masters/Honours/PGDip Scholarship

Responsibilities

Jessica is a consultant within the Department of Statistics Statistical Consulting Centre.

She is also a member of the COMPASS Research Centre

Find more information about the Statistical Consulting Centre

Contact this consultant

Areas of expertise

  • Linear models: including regression models of all types (linear, generalised, logistic, Poisson, negative binomial), mixed models (random effects), and analysis of categorical data and survey data.
  • Simulation in R
  • Questionnaire and survey design
  • Structural equation modelling

Selected publications and creative works (Research Outputs)

  • Wong, J., Gott, M., Frey, R., McLay, J., & Jull, A. (2017). Palliative care presentations to emergency departments in a secondary and a sub-acute hospital: A one year incidence study. Progress in Palliative Care, 25 (5), 235-241. 10.1080/09699260.2017.1365407
    Other University of Auckland co-authors: Merryn Gott, Rosemary Frey, Andrew Jull
  • Chan, H., Jackson, S., McLay, J., Knox, A., Lee, J., Wang, S., & Issa, S. (2016). Obese non-Hodgkin lymphoma patients tolerate full uncapped doses of chemotherapy with no increase in toxicity, and a similar survival to that seen in nonobese patients. Leukemia & Lymphoma, 57 (11), 2584-2592. 10.3109/10428194.2016.1151508
  • Lay-Yee, R., Milne, B., Davis, P., Pearson, J., & McLay, J. (2015). Corrigendum to “Determinants and disparities: A simulation approach to the case of child health care” [Social Sci. Med. 128 (2015) 202–211]. Social Science & Medicine, 133, 1-1. 10.1016/j.socscimed.2015.03.041
    Other University of Auckland co-authors: Barry Milne
  • Milne, B. J., Parker, K., McLay, J., von Randow, M., Lay-Yee, R., Hider, P., ... Davis, P. (2015). Primary health care access and ambulatory sensitive hospitalizations in New Zealand. The Journal of ambulatory care management, 38 (2), 178-187. 10.1097/jac.0000000000000057
    URL: http://hdl.handle.net/2292/26878
    Other University of Auckland co-authors: Barry Milne, Roy Lay-Yee, Peter Davis, Martin von Randow
  • Lay-Yee, R., Milne, B., Davis, P., Pearson, J., & McLay, J. (2015). Determinants and disparities: a simulation approach to the case of child health care. Social science & medicine (1982), 128, 202-211. 10.1016/j.socscimed.2015.01.025
    URL: http://hdl.handle.net/2292/26918
    Other University of Auckland co-authors: Barry Milne, Roy Lay-Yee, Peter Davis
  • SKILLING, P. E. T. E. R., & McLAY, J. E. S. S. I. C. A. (2015). Getting Ahead through Our Own Efforts: Public Attitudes towards the Deservingness of the Rich in New Zealand. Journal of Social Policy, 44 (01), 147-169. 10.1017/S0047279414000610
  • McLay, J., Lay Yee, R., Milne, B. J., & Davis, P. (2015). Regression-style models for parameter estimation in dynamic microsimulation: An empirical performance assessment. The International Journal of Microsimulation, 8 (2), 83-127. Related URL.
    URL: http://hdl.handle.net/2292/27651
    Other University of Auckland co-authors: Barry Milne, Roy Lay-Yee, Peter Davis
  • Milne, B. J., Lay Yee, R., McLay, J. M., Pearson, J., von Randow, M., & Davis, P. (2015). Modelling the Early life-course (MELC): A microsimulation model of child development in New Zealand. The International Journal of Microsimulation, 8 (2), 28-60. Related URL.
    URL: http://hdl.handle.net/2292/27653
    Other University of Auckland co-authors: Barry Milne, Roy Lay-Yee, Martin von Randow, Peter Davis

Identifiers

Contact details

Primary location

SCIENCE CENTRE 303S - Bldg 303S
Level 3, Room 387
38 PRINCES ST
AUCKLAND 1010
New Zealand

Secondary location

FALE - OFFICE BUILDING - Bldg 273
Level 2 , Room 201G
20 WYNYARD ST
AUCKLAND 1010
New Zealand

Web links