This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

MPH5270 - Advanced statistical methods for clinical research

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Medicine, Nursing and Health Sciences

Organisational Unit

Department of Epidemiology and Preventive Medicine

Coordinator(s)

Professor Rory Wolfe

Offered

Alfred Hospital

Second semester 2016 (Day)
Second semester 2016 (Off-campus)

Synopsis

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 Cox proportional hazards regression models. Methods for process control. Combination of lectures and data analysis sessions on laptop computers using Stata statistical software.

Outcomes

Upon successful completion of this unit, students should be able to:

learn statistical analysis methods for the analysis of clinical research data.
gain the skills to apply statistical methods to example datasets using statistical software on a laptop computer.
gain an understanding of the implications of statistical considerations for the design of clinical research studies.
gain an understanding of and the ability to interpret statistical methods in published articles on clinical research studies.

Assessment

Three written assignments (40%, 30%, 30% each)

Workload requirements

3 block days.

Chief examiner(s)

Professor Rory Wolfe

Prerequisites

Credit grades in MPH5040 and MPH5041; familiarity with Stata statistical software; MPH5200 is recommended.

Additional information on this unit is available from the faculty at:

http://www.med.monash.edu.au/epidemiology/pgrad