ANALYSIS OF MEDICAL DATA
STA5AMD
2014
Credit points: 15
Subject outline
This course introduces statistical concepts and analytical methods as applied to data encountered in the biomedical and clinical sciences. It emphasizes how statistical inferences are applied in two common study designs, namely case control and cohort. Topics include likelihood and profile likelihood functions, the Fisher exact test, chi-square tests for association, the Mantel Haenszel test and Wollf estimation, matching and sample size determination, logistic regression, Poisson regression and related models (zero inflated and negative binomial), and receiver operating characteristic curves. The course provides students a foundation to evaluate information critically to support research objectives.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Agus Salim
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: STA3BS
Co-requisites: N/A
Incompatible subjects: STA4AMD
Equivalent subjects: N/A
Special conditions: N/A
Melbourne, 2014, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Agus Salim
Class requirements
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
PracticalWeek: 10 - 22
One 1.0 hours practical per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| 45-minute in-class test | 10 | |
| Four take-home assignments | 20 | |
| Major assignment (data analysis) | 10 | |
| Three-hour examination | 60 |
Melbourne, 2014, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Agus Salim
Class requirements
LectureWeek: 31 - 43
One 2.0 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 | % |
|---|---|---|
| 45-minute in-class test | 10 | |
| Four take-home assignments | 20 | |
| Major assignment (data analysis) | 10 | |
| Three-hour examination | 60 |