sta5amd analysis of medical data

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.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorAgus Salim

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites STA3BS

Co-requisitesN/A

Incompatible subjects STA4AMD

Equivalent subjectsN/A

Special conditionsN/A

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAgus 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 elementComments%
45-minute in-class test10
Four take-home assignments20
Major assignment (data analysis)10
Three-hour examination60

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAgus 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 elementComments%
45-minute in-class test10
Four take-home assignments20
Major assignment (data analysis)10
Three-hour examination60