sta4amd analysis of medical data
ANALYSIS OF MEDICAL DATA
STA4AMD
2015
Credit points: 15
Subject outline
With emphasis on case-control and cohort studies, this course introduces statistical concepts and analytical methods as applied to data encountered in biomedical and clinical sciences. Topics include moment and characteristic functions, odds and rate ratios, Fisher exact and chi-square tests for association, likelihood and profile likelihood functions, Mantel-Haenszel and Woolf estimation, matching and sample size calculation, logistic regression (matched and unmatched), Poisson regression and related techniques (zero-inflated and negative Binomial), and receiver operating characteristic curve. The course provides students a foundation to evaluate information critically to support clinical research objectives.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorAgus Salim
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites STA3BS
Co-requisitesN/A
Incompatible subjects STA5AMD
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Practical Statistics for Medical Research | Prescribed | Altman, D.G. (1991). | CHAPMAN AND HALL: LONDON |
| Readings | Statistical Methods in Cancer Research, Vol.1, The Analysis of Case Control Studies. | Prescribed | Breslow, N.E. and Day, N.E. (1980). | IARC SCIENTIFIC PUBLICATION NO.32. |
| Readings | Statistics for Epidemiology | Prescribed | Jewell, N.P.(2003). | CHAPMAN & HALL |
| Readings | The Statistical Evaluation of Medical Tests for Classification and Prediction. | Prescribed | Pepe, M.S. (2004). | OXFORD UNIVERSITY PRESS. |
Graduate capabilities & intended learning outcomes
01. Demonstrate advanced theoretical and technical knowledge in medical statistics.
- Activities:
- Discussed and demonstrated in lectures (which incoporates the practice class).
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Use advanced cognitive and technical skills to select and apply methods to critically analyse, evaluate and interpret tasks relevant to medical statistics.
- Activities:
- Discussed and demonstrated in lectures. Related problems solved by students in class. Assignment questions, with feedback.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Use advanced cognitive and technical skills to analyse, generate and transmit solutions to complex problems relevant to medical statistics.
- Activities:
- Discussed and demonstrated in lectures. Related problems solved by students in practice class. Assignment questions, with feedback.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Use advanced communication skills to transmit knowledge and ideas of statistics to medical researchers.
- Activities:
- Discussed and demonstrated in lectures. Related problems solved by students in practice class. Assignment questions, with feedback.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Demonstrate autonomy, well-developed judgement, adaptability and responsibility as a statistician.
- Activities:
- Discussed and demonstrated in lectures. Related problems solved by students in practice class. Assignment questions, with feedback.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
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Melbourne, 2015, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAgus Salim
Class requirements
LectureWeek: 31 - 43
One 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
PracticalWeek: 31 - 43
One 1.0 hours practical per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Applied Projects | 20 | 01, 02, 03, 04, 05 | |
| four assignments | 20 | 01, 02, 03, 04, 05 | |
| one 2-hour examination | 60 | 01, 02, 03, 04, 05 |