最新糖心Vlog

Phone: +61 8313 0234
Email: lynne.giles@adelaide.edu.au
Location: School of Public Health, Rundle Mall Plaza

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

1	Apply basic statistical concepts commonly used in Health and Medical 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: Bland M. Introduction to Medical Statistics.  4th edition. 2015; Oxford 最新糖心Vlog Press, Oxford.

Copies are also available from the High Use desk in the Barr Smith Library.  An electronic version of an earlier edition is also available from the Barr Smith Library.  The content of the earlier edition is very similar to the 4th edition.

The Course Handbook will be made available to students before Week 1 of the semester and will be available in electronic form on MyUni.  Supplementary material will 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 Vikki Langton.

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 最新糖心Vlog of Adelaide 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 最新糖心Vlog computer laboratories is available at

MyUni
As an enrolled student, you will have access to the 最新糖心Vlog’s on-line teaching facilities. This is an implementation of the Blackboard system called MyUni. MyUni is accessible from the 最新糖心Vlog of Adelaide’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 Adelaide on 8313 5208 (最新糖心Vlog extension 35208) or the IT help desk on 8313 3000 (最新糖心Vlog 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 最新糖心Vlog of Adelaide 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

N/A

Assessment Task	Assessment Type	Weighting	Learning Outcome(s) being addressed
Assignment 1: Summary Statistics	Summative	10%	1, 3, 4
Assignment 2: Calculating probabilities and defining hypotheses	Summative	20%	1, 3, 4
Assignment 3: Inferential Statistics	Summative	30%	1-4
Examination	Summative	40%	1-4

Editing Guidelines
Assignments and written work should, whenever feasible, be typed or word-processed, although work comprising algebraic notation is acceptable in handwritten form if neat and legible.

There will be three assignments and an examination in this course. All assignments will be posted on MyUni at least 2 weeks prior to the date of submission. Students will be required to participate in an examination that will be scheduled in synchrony for all students.

Assignment 1: Descriptive statistics (10%)
The first assignment will assess students’ facility with calculating appropriate descriptive summary statistics of samples of data. 

Assignment 2: Probability and hypotheses (20%)
The second assignment will assess students’ facility with using simple probability distributions and formulating null and alternative hypotheses. 

Assignment 3: Inferential statistics (30%)
In this assignment, students will select and calculate appropriate test statistics based on scenarios drawn from the population health literature. 

Examination (40%)
The students will be required to demonstrate their statistical reasoning skills by way of calculating descriptive statistics, formulating null and alternative hypotheses, performing inferential statistical tests, and interpreting the results of their calculations.  Scheduled in Semester 1 examination period.

Extensions
All extensions for assignments must be requested, at the latest, by the last working day before the due date of submission.   Extensions will generally be granted only on medical or genuine compassionate grounds.  Supporting documentation must be  provided at the time a student requests an extension.  Without documentation, extensions will not be granted.  Late requests for extension will neither be accepted nor acknowledged.

Only the Course Co-ordinator(s) may grant extensions.
 
Supporting documentation will be required when requesting an extension. Examples of documents that are acceptable include: a  medical certificate that specifies dates of incapacity, a police report (in the case of lost computers, car & household theft etc.), a  letter from a Student Counsellor, Education and Welfare Officer (EWO) or Disability Liaison Officer that provides an assessment
of compassionate circumstances, or a letter from an independent external counsellor or appropriate professional able to verify the  student’s situation.  The length of any extension granted will take into account the period and severity of any incapacity or impact  on the student.  Extensions of more than 10 days will not be granted except in exceptional circumstances.

Late submission
Marks will be deducted when assignments for which no extension has been granted are handed in late.

All assignments, including those handed in late, will be assessed on their merits.  In the case of late assignments where no  extension has been granted, 5 percentage points of the total marks possible per day will be deducted.  If an assignment that is 2  days late is awarded 65% on its merits, the mark will then be reduced by 10% (5% per day for 2 days) to 55%.  If that same  assignment is 4 days late, the mark will be reduced by 20% (5% per day for 4 days) to 45%, and so on.

The School of Public Health reserves the right to refuse to accept an assignment that is more than 7 days late.

Assignments submitted after the due date may not be graded in time to be returned on the listed return dates.

Students submitting examinable written work who request (and receive) an extension that takes them beyond the examination  period are advised that there is no guarantee that their grades will be processed in time to meet usual 最新糖心Vlog deadlines.

Resubmission
If a student is dissatisfied with an assessment grade they should follow the Student Grievance Resolution Process  </student/grievance/process/>.  Students who are not satisfied with a particular assessment result should raise their concerns with Course Co-ordinator(s) in the first instance.  This must be done within 10 business days of the  date of notification of the result.  Resubmission of any assignment is subject to the agreement of the Course Co-ordinator(s) and  will only be permitted for the most compelling of reasons.