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Personal profile

Biography

BEcon, MComBus, MComIT, MBiostats, PhD in Stats

A/Prof Ling Li has participated in a wide range of complex projects on various aspects of health services research, including patient safety, health care delivery, health informatics and clinical epidemiology. She was trained as a biostatistician and has a strong track record in designing and analysing large-scale studies to evaluate the impacts of health interventions using complex health datasets. She has been involved in study designs of cluster randomised trials, stepped wedge cluster randomised controlled trials, time and motion studies and observational studies. She has conducted advanced statistical analyses for several large-scale studies involving linked data from clinical information systems, including projects on pathology testing utilisation and evaluation, risk identification tools for the early detection of sepsis, and the effects of information technology on changes in error rates and clinicians’ work patterns etc. She has made important contributions to the development and application of statistical approaches to health services research.

Research interests

  • Biostatistics
  • Quantitative methods in health service research
  • Health evaluation
  • Patient safety
  • Public health and epidemiology
  • Health informatics
  • Meta-analysis
  • Sepsis

External positions

Specialist Advisor

1 Feb 2019 → …

Associate Editor

1 Jan 2018 → …

Member NHMRC Grant Review Panel

2018 → …

Committee member, Advisory Committee on Vaccines

1 Jan 201731 Dec 2018

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Research Output

Delivering safe and effective test-result communication, management and follow-up: a mixed-methods study protocol

Dahm, M. R., Georgiou, A., Westbrook, J., Greenfield, D., Horvath, A. R., Wakefield, D., Li, L., Hillman, K., Bolton, P., Brown, A., Jones, G., Herkes, R., Lindeman, R., Legg, M., Makeham, M., Moses, D., Badmus, D., Campbell, C., Hardie, R-A., Li, Y. J. & 4 others, McCaughey, E., Sezgin, G., Thomas, J. & Wabe, N., 2018, In : BMJ Open. 8, 2, p. 1-10 10 p., e020235.

Macquarie University

Research output: Contribution to journalArticleResearchpeer-review

Open Access