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

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsPractical Statistics for Medical ResearchPrescribedAltman, D.G. (1991).CHAPMAN AND HALL: LONDON
ReadingsStatistical Methods in Cancer Research, Vol.1, The Analysis of Case Control Studies.PrescribedBreslow, N.E. and Day, N.E. (1980).IARC SCIENTIFIC PUBLICATION NO.32.
ReadingsStatistics for EpidemiologyPrescribedJewell, N.P.(2003).CHAPMAN & HALL
ReadingsThe Statistical Evaluation of Medical Tests for Classification and Prediction.PrescribedPepe, 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

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2015, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAgus Salim

Class requirements

Lecture Week: 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.

Practical Week: 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% ILO*
Applied Projects20 01, 02, 03, 04, 05
four assignments20 01, 02, 03, 04, 05
one 2-hour examination60 01, 02, 03, 04, 05