MPH5270 · Advanced statistical methods for clinical research

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

Assessment

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

Assessment in this unit includes hurdle assessment tasks. Failure of any hurdle assessment task may result in failure of the unit.

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

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

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

3 block days plus average of 9 hours per week comprising of a mix of directed and self-directed learning

Student experience, not official rules. Nothing here changes what the Handbook says.