新浪彩票

Course Coordinator: Dr Amy Salter
Phone: +61 8313 4619
Email: amy.salter@adelaide.edu.au
Location: Level 11, 178 North Terrace

Course Coordinator: Associate Professor Lynne Giles
Phone: +61 8313 0234
Email: lynne.giles@adelaide.edu.au
Location: Level 7, 178 North Terrace

Student & Program Support Services Hub
Email: askhealthsc@adelaide.edu.au
Phone: +61 8313 0273

On successful completion of this course, students will be able to:

1	Apply basic statistical concepts commonly used in Health Sciences;
2	Use basic analytical techniques to generate results;
3	Interpret results of commonly used statistical analyses in written summaries; and
4	Demonstrate statistical reasoning skills correctly and contextually.

The textbook for this course is: Armitage P, Berry G, Matthews JNS. Statistical Methods in Medical Research (4th edition). 2002 (2008  for electronic edition); Wiley-Blackwell, London. 

Course Handbook will be made available to students before Week 1 of the semester and will be available in electronic form on MyUni.
Please note: an electronic version of the textbook may be accessed for free via the Barr Smith Library. It is accessed via the ‘ebrary’  portal which will be discussed in Week 1 on Blackboard in MyUni. Supplementary material may also be placed on MyUni throughout the course, as required.

The Barr Smith Library is an important resource for any student of public health and in Orientation Week tours of the Library are   arranged. The librarian with responsibility for public health is Maureen Bell.

Useful texts and references will be discussed by the course co-ordinators.

A very important resource for students encountering any difficulties with mathematics or statistics at the University of 新浪彩票 is the  Maths Learning Centre based on Level 3 East of Hub Central, North Terrace Campus. For details go to /mathslearning/.

Computers General information about University computer laboratories is available at

MyUni
As an enrolled student, you will have access to the University’s on-line teaching facilities. This is an implementation of the Blackboard system called MyUni. MyUni is accessible from the University of 新浪彩票’s home-page: www.adelaide.edu.au

You will need your student login name and a password.

If you do not have access, then either you are not enrolled or the administrators of MyUni do not know of your enrolment. Please call Ask 新浪彩票 on 8313 5208 (University extension 35208) or the IT help desk on 8313 3000 (University extension 33000) for assistance with MyUni difficulties. 

Course materials will be placed on MyUni. Note also that Announcements about a course are often made on the relevant page of the MyUni site for the course. For example, notifications of a change in lecture venue, updates on availability of course material etc. will be made on the MyUni site.

Email
We assume that students access  e-mail and that their address is the University of 新浪彩票 student address that was assigned on  enrolment. This is of the form: firstname.lastname@student.adelaide.edu.au A notice to a student by e-mail is considered to have been received and read by the student unless there is a transmission error and the postmaster bounces the message back to us. As discussed above, the Announcements page of the MyUni site for this course will also display relevant notices from time to time, so it is essential that students check their student e-mail and to log on to MyUni regularly.

There are a number of teaching and learning modes in this course. The course lectures provide basic factual information and concepts in an introduction to biostatistics. Due to the limited timeframe, not everything will be covered in lectures. Lectures are intended to  supplement material covered in the readings. Lectures will be supported by tutorials and interactive learning sessions with directed   learning to text, videos, and websites. The tutorials and interactive learning sessions are designed to develop and clarify topics  covered in the readings and lectures. Tutorials are generally problem solving opportunities and students are required to complete as  many questions as possible prior to revelation of solutions. Use of the discussion board will be encouraged and will support learning around the course materials. Assignments provide an opportunity to undertake exploratory and in-depth analysis of some key  concepts introduced in the course. Finally, the exam will assess the extent to which students have developed their biostatistical understanding through the course.

As a general rule in any post-graduate university course, students need to allow a minimum of eight to 12 hours per week. This means that, for Introduction to Biostatistics, in addition to engaging with the lecture material, students will need to set aside at least a further eight hours per week for reading around topics, completing tutorial and interactive learning session materials, participation in the online discussion board, and completion of assignments. You are urged to bear this in mind when planning your university timetable, particularly if you are also engaged in paid employment. In our experience, students may not be able to demonstrate their full capacity if they are working full-time and studying full-time. Students are expected to engage with all course materials as  completion of readings alone will almost certainly not provide sufficient material to enable a pass.

Topic	Lecture/Tutorial
Introduction to Biostatistics and Descriptive Statistics	Lecture: Introduction to Biostatistics and Descriptive Statistics. Tutorial: Administration of diagnostic tool and Descriptive statistics.
Probability and Probability Distributions 1	Lecture: Probability concepts; Laws of probability. Tutorial: Further descriptive statistics
Probability and Probability Distributions 2	Lecture: Probability distributions and sampling distributions. Tutorial: Probability and probability distributions.
Inferential Statistics 1	Lecture: Null and alternative hypotheses and how to set up a statistical test. Tutorial: The binomial probability distribution and the Normal distribution.
Inferential Statistics 2	Lecture: Sample statistics and population parameters; confidence intervals. Tutorial: Setting up a statistical test, errors and power.
Comparison between Two Independent Groups	Lecture: Conducting a z-test; the t-distribution; conducting a t-test for independent samples. Tutorial: Calculation of a confidence interval.
Comparison between Two Matched or Paired groups	Lecture: Examples of matching and pairing; t-test for dependent samples. Tutorial: Inference for independent samples.
Categorical Data	Lecture: An introduction to the chi-square test of association. Tutorial: Inference for paired samples.
Simple Linear Regression 1	Lecture: Method of least squares; definition of residuals. Tutorial: Calculating a chi-square test of association.
Simple Linear Regression 2	Lecture: Assumptions of simple linear regression model; assessing assumptions. Tutorial: Simple linear regression.
Correlation	Lecture: Pearson’s correlation coefficient; inference and interpretation of correlation coefficients. Tutorial: More on simple linear regression and assumptions.
Course Overview and Revision

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