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EPM5006 · Clinical biostatistics

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Epidemiology and Preventive Medicine

Last checked: 23 Aug 2026 UTC

Overview

Practical applications of statistical methods in clinical settings. Methods for assessment of clinical agreement, statistical properties of diagnostic tests and their interpretation, fundamentals of modelling for clinical prediction. Study of meta analysis methods in the context of randomised trials, diagnostic tests and observational studies, assessing heterogeneity and publication bias. Assessment of the application, analysis and utility of crossover and equivalence trials.

Offerings

CampusTeaching periodMode
Alfred HospitalFirst semesterTeaching is all online (ONLINE)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Written assignmentsWritten100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

corequisite

  • EPM5027 — Regression modelling for biostatistics 1

prerequisite

  • MPH5040 — Introductory epidemiology
  • EPM5003 — Principles of statistical inference

Joined by AND.

  • EPM5026 — Mathematical foundations for biostatistics
  • EPM5014 — Probability and distribution theory

Joined by OR.

Learning outcomes

  1. Explain the role of statistical methods in evidence-based health care.
  2. Determine appropriate statistical methods of particular relevance to evidence-based health care in particular clinical applications.
  3. Correctly employ these statistical methods and have the skills to effectively communicate with clinicians on the application of these methods and interpretation of results.

Workload

No workload detail published.

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