MD Research Skills 2 (MEDS90036)
Graduate courseworkPoints: 25On Campus (Parkville)
From 2023 most subjects will be taught on campus only with flexible options limited to a select number of postgraduate programs and individual subjects.
To learn more, visit COVID-19 course and subject delivery.
Overview
Availability | February |
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Fees | Look up fees |
Due to the impact of COVID-19, this subject is being undertaken by the Doctor of Medicine Year 3 2020 and Year 3 2021 cohorts, in lieu of MEDS90026 MD Research Project 2.
This subject will expand on the research principles introduced in MD Research Skills 1 and will focus on the application of study design methodologies, critical evaluation of scientific literature and statistical analysis in clinical research.
Intended learning outcomes
At the completion of this subject, students will be able to:
Advanced Study Design
- Describe the principles and application of a range of study design methodologies including epidemiological/ population studies, health services research, randomised controlled trials, quantitative studies and qualitatative studies
Critical Analysis of the Scientific Literature
- Demonstrate competency in critical analysis of the literature by discussing strengths and weaknesses of selected scientific manuscripts
- Compare and contrast commonly used tools/instruments/approaches to assess the validity of sources of medical information
- Demonstrate a systematic approach to the critical evaluation of the validity, reliability, and applicability of health-related research and literature
- Appropriately communicate issues associated with the validity of medical information to clinical colleagues, patients and the general public
- Apply the principles of critical analysis to the preparation of a systematic review in an area of clinical interest/relevance
- Assess sources of bias and variation in published studies and threats to study validity (bias) including problems with sampling, recruitment, randomisation, and comparability of study groups
Statistics in Medical Research
- Distinguish between variable types (e.g. continuous, binary, categorical) and describe the implications for selection of appropriate statistical methods
- Demonstrate competence in the evaluation and interpretation of research data using statistical methods appropriate for the data and research question
- Describe the basic principles and practical importance of probability, random variation, commonly used statistical probability distributions, hypothesis testing, type I and type II errors, and confidence limits
- Describe the potential misinterpretation of results in the presence of multiple comparisons
- Explain, using appropriate examples, the components of sample size, power, and precision
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MEDS90035 | MD Research Skills 1 | February (Online) |
6.25 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Module 1 - Advanced Study Design written assessment
| Week 4 | 0% |
Module 2 - Statistics weekly online quizzes (x6)
| From Week 5 to Week 10 | 0% |
Module 2 - Statistics final online quiz
| End of module 2 | 0% |
Module 3 - Critical Analysis written assessment
| During module 3 | 0% |
Research activity written report
| Final week of teaching period | 0% |
Research activity oral presentation
| Final 2 weeks of the teaching period | 0% |
Professional Behaviour Hurdle requirement: Satisfactory standard in professional behaviour, as demonstrated by Professional Behaviour Assessment | Throughout the semester | 0% |
Additional details
Note that the weeks referred to above are the teaching weeks for MDRS2 and differ from the University's standard semester weeks
Last updated: 31 January 2024
Dates & times
- February
Principal coordinator Kesha Rana Mode of delivery On Campus (Parkville) Contact hours 20 hours synchronous learning + 280 hours asynchronous learning Total time commitment 300 hours Teaching period 14 February 2022 to 26 September 2022 Last self-enrol date 31 March 2022 Census date 1 April 2022 Last date to withdraw without fail 15 July 2022 Assessment period ends 26 September 2022
Time commitment details
20 hours synchronous learning + 280 hours asynchronous learning
Last updated: 31 January 2024
Further information
- Texts
Last updated: 31 January 2024