Biostatistics B

10 Units

The purpose of this course is to build on the knowledge and skills obtained in Biostatistics A BIOS6910, and to introduce more complex methods of analyses which are commonly used in epidemiologic research.

Faculty Faculty of Health and Medicine
School School of Medicine and Public Health
Availability Semester 2 - 2014 (Callaghan Campus)
Semester 2 - 2014 (WebLearn GradSchool)
Semester 2 - 2015 (Callaghan Campus)
Semester 2 - 2015 (WebLearn GradSchool)
  1. Understand and carry out analysis of variance and the non-parametric Kruskal-Wallis analogue (where appropriate) and interpret the results of these analyses
  2. Understand problems with multiple tests using the same data and apply appropriate techniques to overcome such problems
  3. Be able to calculate parametric and non-parametric correlation co-efficients and determine which method is appropriate
  4. Use a statistical package to perform simple linear regression and multiple linear regression, to correctly interpret output from analyses and to check assumptions made
  5. Use Chi square methods to test hypotheses about data summarised in an r x c contingency table
  6. Use appropriate hypothesis tests for 2 x 2 contingency tables for a variety of study designs and to calculate and interpret estimates and confidence intervals, as appropriate, for measure of association for 2 x 2 tables
  7. Understand and be able to apply, where appropriate, Mantel-Haenszel methods
  8. Determine when it is appropriate to use logistic regression, and to be able to undertake logistic regression using a statistical package and interpret the output from logistic regression analysis
  9. Determine when it is appropriate to use survival analyses, to obtain product-limit and life-table estimates of survival curves and to use the log-rank test to compare survival curves
  10. To undertake proportional hazards regression using a statistical package and to interpret the output from the regression
  11. Be able to choose appropriate methods of analysis from the statistical techniques covered in the Biostatistics(A and B) subjects.

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 - Statistics: Oneway ANOVA and multiple comparisons S6 - Statistics: Regression, correlation and multiple regression S7 - Statistics: Analysis of contingency tables S8 - Statistics: Logistic regression S9 - Statistics: Survival analysis OV3 - Overview: Choosing an appropriate method of analysis

Replacing Course(s) N/A
Transition N/A
Industrial Experience 0
Assumed Knowledge BIOS6910 - Biostatistics A
Modes of Delivery Distance Learning : Paper Based
External Mode
Internal Mode
Teaching Methods Email Discussion Group
Self Directed Learning
Assessment Items
  • Essays / Written Assignments - Two Marked Assignments, MA1 worth 20%, MA2 worth 35%.
  • Examination: Take Home - Take Home Exam worth 45%.
Contact Hours
  • Email Discussion Group: for 2 hour(s) per Week for Full Term
  • Tutorial: for 2 hour(s) per Week for Full Term
Compulsory Components None listed
Course Materials None listed
Timetable 2015 Course Timetables for BIOS6920

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