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MD Research Skills (MEDS90036)
Graduate courseworkPoints: 25On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
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, Year 3 2021, Year 3 2022 and Year 3 2023 cohorts, in lieu of MEDS90026 MD Research Project 2.
This subject will expand on the research principles introduced earlier in the course 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 qualitative 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 |
---|---|---|---|
MEDS90004 | Principles of Clinical Practice 2 | Year Long (Extended) (On Campus - Parkville) |
81.25 |
Corequisites
Non-allowed subjects
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
| End of Module 1 | 0% |
Module 2 - Critical Analysis written assessment
| End of Module 2 | 0% |
Module 3 - Statistics weekly online quizzes (x6)
| From Week 8 to Week 14 | 0% |
Module 3 - Statistics final online quiz
| End of module 3 | 0% |
Research activity written report
| Final week of teaching period | 0% |
Research activity oral presentation
| Final 4 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 13 February 2023 to 29 September 2023 Last self-enrol date 30 March 2023 Census date 31 March 2023 Last date to withdraw without fail 7 July 2023 Assessment period ends 29 September 2023
Time commitment details
280 hours asynchronous learning
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024