Mrs Fatemeh Torabi
Research Officer and Data Scientist
Medicine
Telephone: (01792) 513431
Email: JavaScript is required to view this email address.
Room: Open Plan Office - 406
Fourth Floor
Data Science Building
Singleton Campus

Publications

  1. & (2018). A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing. Presented at International Journal of Population Data Science,(4) Banff, Canada: IPDLN 2018 conference. doi:10.23889/ijpds.v3i4.788
  2. & (2018). Stroke prevention: Evaluation of the use of anticoagulation in the population with known Atrial Fibrillation. Presented at International Journal of Population Data Science,(4) Banff, Canada: IPDLN 2018 conference. doi:10.23889/ijpds.v3i4.799
  3. & A Regional Collaboration of Health (ARCH): Using health survey and linked routine data to understand wellbeing.. International Journal of Population Data Science 3(2)

Teaching

  • PMIM302 Introductory Analysis of Linked Health Data

    This module introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of health care epidemiology with hands-on practical exercises in the implementation of computing solutions. The module provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified linked data files in the hands-on exercises. The computing component of the module assumes a basic familiarity with computing syntax used in programs such as SPSS, SAS, STATA or R and methods of basic statistical analysis of fixed-format data files. This is a core / compulsory module and worth 20 Masters level credits. The main lecturers will be Professors Tom Briffa and Jane Hayward of the University of Western Australia. The module co-ordinator is Dr Joanne Demmler.