$0 – $1,000

Advanced Statistical Methods in Epidemiology

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UNSW Business School, Room 220

College Road

UNSW Kensington Campus, NSW 2052

Australia

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Note for UNSW attendees

All UNSW attendees need to pay course fees. If you would like to pay by internal transfer through your school, please choose the appropriate "Free" ticket to register for the course and then arrange with your department to pay the course fee. If you would like to pay immediately, please choose the appropriate "Credit Card Payment" ticket.


Course Outline

This workshop is aimed at health researchers and practitioners who are familiar with basic statistical methods used in epidemiology and who would like to expand their knowledge and skills in this area.

The workshop will use one or more existing epidemiological data sets to illustrate how to use software to conduct statistical analyses and interpret statistical results.

  • Introduction to statistical methods for case-control studies (Note 1)
  • Measures of comparative risk (odds ratio, relative risk) and study design (case-control, RCT)
  • Combining comparative risk measures, confounding and interactions
  • Logistic, Poisson, multinomial and conditional logistic regression
  • Introduction to key elements of systematic reviews for meta-analyses (Note 2)
  • Simple meta-analysis model including assumptions
  • Statistical software for meta-anlayses
  • Heterogeneity (random vs fixed effects meta-analysis, tests for heterogeneity, index of heterogeneity)
  • Assessing publication bias (funnel plot, regression test, rank correlation test)
  • Generating forest plots
  • Meta-regression for study-level predictors
  • Multivariate meta-regression for multiple study-level outcomes
  • Kaplan-Meier Survival Estimator
  • Cox Proportional Hazards Models

Note 1: In contrast to clinical trials, case-control studies are observational in nature. In an observational study, the role of the investigator is passive: they observe the individuals and collect relevant data, but do not influence the course of events.

Note 2: It is assumed participants are familiar with the basic conduct of systematic reviews but not yet experienced with conducting meta-analyses.

Software used in the course: R, RStudio, metafor package for R.

Additional notes

Participants will be given workshop slides, R code and data shortly before the course.

Please bring your own laptop computer to the course.

Course fees include morning and afternoon teas and lunch on both days.

Course presenters

Assoc. Professor Jake Olivier, School of Mathematics and Statistics & Stats Central, UNSW

Dr Zhixin Liu, Stats Central, UNSW


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UNSW Business School, Room 220

College Road

UNSW Kensington Campus, NSW 2052

Australia

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