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TM5516 - Biostatistics for Public Health

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: Sch Public Health,Trop Medicine&Rehabilitation Sc (pre 2015)

Available to all postgraduate students in health science programs.

Biostatistics for public health is an introductory level course that covers the basic data analytical skills for analysing health data. Topics include: the elementary theory of probability; diagnostic tests; data exploration and presentation; theoretical and empirical distributions; measures of central tendency and dispersion; basic principles of statistical inference; principles of hypothesis tests; confidence intervals; common bivariate statistical tests; linear correlation and regression; and multiple linear regression. Students will be introduced to the statistical software package, SPSS (IBM SPSS, Chicago, Illinois). Numeracy skills are essential for the successful completion of this subject.

Learning Outcomes

  • demonstrate understanding of the fundamental principles of biostatistics;
  • recognise, manage, describe and summarise data using the appropriate graphical and numerical methods;
  • identify the appropriate statistical inferential methods for health research questions;
  • make the appropriate use of the statistical software SPSS;
  • competently read and critically interpret statistics in a health publication and apply knowledge to real-world problems.

Availabilities

Townsville, Block, Study Period 5
Census Date 08-May-2014
Non-standard start/end 31-Mar-2014 to 20-Jun-2014
Face to face teaching 31-Mar-2014 to 11-Apr-2014 (2 week block)
Coordinator: Dr Carla Ewels, Assoc. Professor Kerrianne Watt
Lecturers: Dr Carla Ewels, Assoc. Professor Kerrianne Watt.
Workload expectations:
  • 60 hours lectures
Assessment: quizzes or tests (25%); assignments (75%).
Special Assessment Requirements: Student must pass exam to pass subject

External, Study Period 2
Census Date 28-Aug-2014
Coordinator: Dr Iyke Emeto, Assoc. Professor Kerrianne Watt
Lecturers: Dr Iyke Emeto, Assoc. Professor Kerrianne Watt.
Method of Delivery: Printed materials
Assessment: assignments (25%); assignment 2 (short answer questions, calculations, analyse data using spss) (25%); final exam via learnjcu open book; covering entire subject material) (50%).
Special Assessment Requirements: Student must pass exam to pass subject

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.