MPH5270 Advanced statistical methods for clinical research
Faculty of Medicine, Nursing and Health Sciences
MPH5270 Advanced statistical methods for clinical research is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2021 in Semester 2 at Alfred Hospital. It needs MPH5041 and MPH5040.
- Credit points
- 6
- Offered in 2021
- Semester 2
- Alfred Hospital
- Assessment
- No exam
- 3 tasks
This is the 2021 handbook entry. See the 2027 entry.
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Requisites
Before MPH5270
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
- MPH6270Advanced statistical methods for clinical research
After MPH5270
No unit lists MPH5270 as a prerequisite in the 2021 handbook.
Enrolment rules
Prerequisite: Credit grades in MPH5040 and MPH5041
Overview
Statistical methods for clinical trials data, including design considerations, sequential analysis, bioequivalence and analysis of repeated measures data.
Methods for measuring agreement between raters or instruments including kappa statistics and intraclass correlation coefficients.
Analysis of survival time data with Kaplan-Meier graphs and Cox proportional hazards regression models.
Combination of lectures and data analysis sessions on laptop computers using Stata statistical software.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Alfred Hospital | Block on |
Assessment
- Written assignment 1Threshold hurdle40%
- Written assignment 230%
- Written assignment 330%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Interpret statistical analysis methods in the analysis of clinical research data.
- 2
Apply statistical methods to clinical research data.
- 3
Determine the implications of statistical considerations for the design of clinical research studies.
- 4
Critically analyse the applied statistical methods in published articles on clinical research studies.
- 5
Analyse clinical research data using statistical software on a laptop computer.
Workload and teaching
3 block days plus average of 9 hours per week comprising of a mix of directed and self-directed learning
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Chief Examiners
- Associate Professor Arul Earnest
- Unit Coordinators
- Associate Professor Arul Earnest