BIOS6920
10 units
6000 level
Course handbook
Description
The purpose of this course is to build on the knowledge and skills obtained in Biostatistics A, and to introduce more complex methods of analyses which are commonly used in epidemiologic research.
Availability2024 Course Timetables
Callaghan
- Semester 2 - 2024
Online
- Semester 2 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Conduct analysis of variance (ANOVA) or the non-parametric Kruskal-Wallis alternative as appropriate using statistical software and interpret output.
2. Explain the problem of multiple comparisons and apply common adjustments to account for multiple testing.
3. Calculate correlation coefficients using appropriate parametric and non-parametric methods.
4. Perform linear regressions using statistical software, interpret output, and identify violations of model assumptions.
5. Use the Chi-squared test or the alternative Fisher's exact test for testing hypotheses about categorical data expressed in an r x c contingency table.
6. Analyse 2 x 2 contingency tables arising from a variety of study designs by choosing appropriate measures of association, calculating their confidence intervals, and selecting appropriate hypothesis tests.
7. Identify when the Mantel-Haenszel method is appropriate in order to adjust for stratification.
8. Perform logistic regressions using statistical software, interpret output, and describe results about binary outcomes in terms of Odds Ratios.
9. Recognise situations when survival analysis methods are to be used and obtain Kaplan-Meier estimates of survival functions.
10. Analyse survival outcomes with the log-rank test and/or Cox 'proportional hazards' regression using statistical software and interpret output.
11. Select appropriate methods of analysis from those covered in Biostatistics courses A and B for a given situation.
Content
The course builds on the knowledge and skills developed in Biostatistics A, BIOS6910. Topics include analysis of variance, correlation and linear regression, analysis of contingency tables, logistic regression and survival analysis. Although students are expected to undertake analyses using a computer package, the subject does not focus on computing skills, but instead on interpretation of output and the appropriate use of methods of analyses.
The learning modules comprising Biostatistics B are:
S5 - Oneway ANOVA and multiple comparisons
S6 - Regression, correlation and multiple regression
S7 - Analysis of contingency tables
S8 - Logistic regression
S9 - Survival analysis
OV3 - Overview: Choosing an appropriate method of analysis
Assumed knowledge
BIOS6910 - Biostatistics A
Assessment items
Quiz: Quiz 1
Written Assignment: Assignment 1
Written Assignment: Assignment 2
In Term Test: Online Examination
Contact hours
Semester 2 - 2024 - Callaghan
Lecture-1
- Face to Face On Campus 2 hour(s) per fortnight for 2 fortnight(s) starting in week 8
Lecture-2
- Face to Face On Campus 2 hour(s) per fortnight for 3 fortnight(s) starting in week 1
Online Activity-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 1
Self-Directed Learning-1
- Self-Directed 8 hour(s) per week(s) for 13 week(s) starting in week 1
Semester 2 - 2024 - Online
Lecture-1
- Online 2 hour(s) per fortnight for 2 fortnight(s) starting in week 8
Lecture-2
- Online 2 hour(s) per fortnight for 3 fortnight(s) starting in week 1
Online Activity-1
- Online 2 hour(s) per week(s) for 13 week(s) starting in week 1
Self-Directed Learning-1
- Self-Directed 8 hour(s) per week(s) for 13 week(s) starting in week 1
Course outline
Course outline not yet available.
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.