- Class Number 9788
- Term Code 2960
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Dr Wei Du
- Dr Alice Richardson
- Dr Ben O'Neill
- Dr Grace Joshy
- Dr Elisabeth Huynh
- Dr Wei Du
- Class Dates
- Class Start Date 22/07/2019
- Class End Date 25/10/2019
- Census Date 31/08/2019
- Last Date to Enrol 29/07/2019
Data analysis is a central activity in applied epidemiology providing underlying evidence for public health policy formulation and action. Data may come from studies with survey, cohort or case control designs, or from health system surveillance or monitoring. The different types of data require different analytic methods appropriate to the form of the data and to the research question. This course aims to introduce students to some different types of quantitative public health data, with a focus on secondary dataset analysis, and to give students the opportunity for hands-on learning of epidemiological data analysis skills. The course is relevant to any student interested in a career in public health or health research, or to those wishing to extend their statistical skills to analysis of public health data.
Upon successful completion, students will have the knowledge and skills to:
- Define questions of public health significance appropriate to secondary dataset analysis
- Design an analysis plan
- Perform a descriptive analysis
- Identify and use appropriate statistical analytic approaches and methods
- Identify limitations of data analyses
- Communicate findings for public health action
Students will be given feedback in the following forms in this course:
- written comments
- verbal comments
- feedback to whole class, groups, individuals, focus group etc
ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.
Prior to the start of Semester all students must complete an introductory online non-assessable quiz.
|Week/Session||Summary of Activities||Assessment|
|1||Introduction to STATA and descriptive analysis|
|2||Data management and data analysis plans|
|3||Multiple linear regression|
|4||Model selection for linear regression|
|5||Analysis of binary data|
|6||Logistic regression||Online Quiz will be available from 29/8/19-30/8/19 covering topics week 1-5|
|7||Conditional logistic regression|
|8||Analysis of rates and count data|
|9||Poisson and negative binomial regression||Material for Written Assignment 1 will be available 26/8/19 due 2/10/19.|
|12||Choosing tests and models|
|13||Exam period||Written Assignment 2 due 1/11/19|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Online Quizzes||40 %||30/08/2019||31/10/2019||3,4|
|Written assignment 1: Statistical Analysis Plan||20 %||02/10/2019||02/10/2019||1,2|
|Written assignment 2: Statistical Analysis Report||40 %||01/11/2019||01/11/2019||3,4,5,6|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:
The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.
Moderation of Assessment
Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.
Assessment Task 1
Learning Outcomes: 3,4
This will comprise a number of questions to assess your knowledge of the material covered. The Online Assessment will be available on WATTLE for a 48-hour period. You are required to log into the course WATTLE site sometime during this period to complete the assessment. There will be a 1.5-hour time limit to complete each assessment once you have ‘logged in’. Once logged in, you must continue until you have completed the assessment as only one log in per student is allowed.
You are allowed to access any printed or internet based resources to complete the assessment, however you must not discuss the assessment with anyone else.
The online assessment will comprise multiple choice, true/false, short answer and some data analysis questions. For part of the assessment, you will need to download a dataset from WATTLE to answer some of the questions in that assessment.
The date range for these tasks indicates the approximate due date for the first quiz , and the approximate return date for the last quiz. There are multiple quizzes due over the semester. It is intended that the marked quizzes will be returned within 2 weeks after submission. Further details can be found on the Course Wattle site.
Assessment Task 2
Learning Outcomes: 1,2
Written assignment 1: Statistical Analysis Plan
You will be given a scenario and a template and be asked to write a Statistical Analysis Plan, based on the given information. The assignment should not exceed 1500 words (not including Tables, Figures and References).
Assessment Task 3
Learning Outcomes: 3,4,5,6
Written assignment 2: Statistical Analysis Report
You will be given a dataset from a study and be asked to analyse the data and write a summary report of your analysis and interpret it. You will be required to submit an annotated “Do file” that summarises the code you used in Stata to conduct the analyses. The assignment should not exceed 2000 words (not including Tables, Figures, References and Appendices).
Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.
The ANU commits to assisting all members of our community to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to be familiar with the academic integrity principle and Academic Misconduct Rule, uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with.
The Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.
You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.
For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.
Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:
- Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded. Late submission is not permitted for the online quizzes.
- Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.
Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.
Written assignments with comments will be returned via email.
Extensions and Penalties
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.
Resubmission of Assignments
Resubmission of assignments is not permitted.
Distribution of grades policy
Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.
Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
Support for students
The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Vulnerable populations, service use and outcome, science-policy-practice interface, applied statistics and machine learning, injury and disability, mental health, research translation
Dr Wei Du
Dr Alice Richardson
Dr Ben O'Neill
Dr Grace Joshy
Dr Elisabeth Huynh