PUB HLTH 7074OL - Introduction to Biostatistics
Online - Semester 1 - 2015
General Course Information
Course Code PUB HLTH 7074OL Course Introduction to Biostatistics Coordinating Unit Public Health Term Semester 1 Level Postgraduate Coursework Location/s Online Units 3 Contact Online Available for Study Abroad and Exchange N Incompatible PUB HLTH 7074 Course Description Biostatistics is the application of statistical methods (summarising data and drawing valid inferences based on limited information) to biological systems, more particularly, to humans and their health problems. This course deals with statistical concepts and terminology and basic analytic techniques. The purpose of the course is to give public health and occupational health workers an introduction to the discipline, an appreciation of a statistical perspective on information arising from the health arena and basic critical appraisal skills to enable graduates to assess the quality of research evidence.
Course StaffCourse Coordinator: Dr Amy Salter
Phone: +61 8313 4619
Location: Level 8 Hughes Building
Course Coordinator: Dr Lynne Giles
Phone: +61 8313 0234
Location: Level 7, 178 North Terrace
Learning and Teaching Team
Phone: +61 8313 2128
Location: Level 7, 178 North Terrace
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn 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.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1,2,3 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 2,3,4
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 and Study Guides 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 reading material may also be placed on MyUni throughout the course, as required.
Online LearningMyUni will provide the online learning system for students via https://myuni.adelaide.edu.au/
Once students have sucessfully enrolled in this course they can access the MyUni site where they can access lectures, tutorials, assignments, join discussion forums and link up with the course co-ordinators and fellow students.
Learning & Teaching Activities
Learning & Teaching ModesThere are a number of teaching and learning modes in this course. The online course lectures provide basic factual information and concepts in biostatistics. Lectures are intended to supplement material covered in the study guides and readings. Lectures will be supported by online tutorials with directed learning to text, videos, and websites. The tutorials are designed to develop and clarify topics covered in the readings and lectures. These are generally problem solving sessions and students are required to complete as many questions as possible prior to the Blackboard discussion date. 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.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Consistent of 3 assignments plus an examination and weekly readings.
Learning Activities Summary
Week Topic Lecture/Tutorial Week 1 Introduction to Biostatistics and Descriptive Statistics Lecture: Introduction to Biostatistics and Descriptive Statistics
Tutorial: Administration of diagnostic tool and Descriptive Statistics
Week 2 Probability and probability distributions 1 Lecture: Probability concepts, Laws of probability
Tutorial: Further descriptive statistics
Week 3 Probability and probability distributions 2 Lecture: Probability distributions and sampling distributions
Tutorial: Probability and probability distributions
Week 4 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
Week 5 Inferential Statistics 2 Lecture: Sample statistics and population parameters, confidence intervals
Tutorials: Setting up a statistical test, errors and power
Week 6 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
Week 7 Comparison between two matched or paired groups Lecture: Examples of matching and pairing t-test for dependent samples
Tutorial: Inference for independent samples
Week 8 Categorical Data Lecture: An introduction to the chi-square test of association
Tutorial: Inference for paired samples
Week 9 Simple linear regression 1 Lecture: Method of least squares, definition of residuals
Tutorial: Calculating a chi-square test of association
Week 10 Simple linear regression 2 Lecture: Assumptions of simple linear regression model, assessing assumptions
Tutorial: Simple linear regression
Week 11 Correlation Lecture: Pearson's correlation coefficient, inference and interpretation of correlation coefficients
Tutorial: More on simple linear regression and assumptions
Week 12 Course overview and revision Week 13 Self directed study for exam revision
Specific Course RequirementsN/A
Small Group Discovery ExperienceN/A
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Task Type Weighting Learning course objective(s) being addressed Assignment 1: Summary statistics Summative 5% 1, 3, 4 Assignment 2: Calculating probabilities and defining hypotheses Summative 15% 1, 3, 4 Assignment 3: Inferential statistics Summative 20% 1-4 Examination Summative 60% 1-4
Assessment Related RequirementsN/A
Assessment DetailThere 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 on-line, open book examination for a period of two hours that will be scheduled in synchrony for all students.
Assignment 1: Descriptive statistics (5%)
The first assignment will assess students’ facility with calculating appropriate descriptive summary statistics of samples of data. Due at end of Week 3 of Semester 1.
Assignment 2: Probability and hypotheses (15%)
The second assignment will assess students’ facility with using simple probability distributions and formulating null and alternative hypotheses.
Due at end of Week 6 of Semester 1.
Assignment 3: Inferential statistics (20%)
In this assignment, students will select and calculate appropriate test statistics based on scenarios drawn from the population health literature.
Due at end of Week 12 of Semester 1.
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.
SubmissionInformation will be provided on MyUni
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
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Final results for this course will be made available through Access Adelaide.
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