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Unit of study_
BSTA5005: Clinical Biostatistics (CLB)
2024 unit information
The aim of this unit is to enable students to correctly use statistical methods of particular relevance to evidence-based health care and to advise clinicians on the application of these methods and interpretation of the results. Content: Clinical trials (equivalence trials, cross-over trials); Clinical agreement (Bland-Altman methods, kappa statistics, intraclass correlation); Statistical process control (special and common causes of variation; quality control charts); Diagnostic tests (sensitivity, specificity, ROC curves); Meta-analysis (systematic reviews, assessing heterogeneity, publication bias, estimating effects from randomised controlled trials, diagnostic tests and observational studies).
Unit details and rules
Managing faculty or University school:
Public Health
| Code | BSTA5005 |
|---|---|
| Academic unit | Public Health |
| Credit points | 6 |
|
Prerequisites:
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(PUBH5010 or BSTA5011 or CEPI5100) and BSTA5002 |
|---|---|
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Corequisites:
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BSTA5210 or BSTA5007 |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Understand and apply Continuous Quality Improvement to medical studies and hospital data including detection of special and common causes of variation
- LO2. Explain and apply appropriate measures of agreement and consistency for both raters and continuous measurements
- LO3. Calculate measures of the performance of diagnostic tests and interpret these via ROC curves where appropriate
- LO4. Describe systematic reviews and undertake meta-analyses of various types of studies
- LO5. Understand advantages and disadvantages of cross-over designs in general and be able to analyse 2x2 designs
- LO6. Explain the role of, and the relationships between, non-inferiority, efficacy and equivalence trials
- LO7. Calculate and report sample sizes for non-inferiority and equivalence trials
- LO8. Choose the appropriate graphical and/or statistical methods to answer clinical questions
- LO9. Effectively communicate the results of, and ideas behind statistical analyses performed to clinicians and statisticians
Unit availability
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Modes of attendance (MoA)
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