BIOSTATS 6007EX - Categorical Data & Generalised Linear Models

External - Semester 2 - 2021

The aim of this course is to enable students to use generalised linear models (GLMs) and other methods to analyse categorical data with proper attention to the underlying assumptions. There is an emphasis on the practical interpretation and communication of results to colleagues and clients who may not be statisticians. The content includes: introduction to and revision of conventional methods of contingency tables especially in epidemiology; odds ratios and relative risks; chi-squared tests for independence; Mantel-Haenszel methods for stratified tables; and methods for paired data. The exponential family of distributions includes: generalised linear models (GLMs), and parameter estimation for GLMs; inference for GLMs-including the use of score, Wald and deviance statistics for confidence intervals and hypothesis tests, and residuals; binary variables and logistic regression models-including methods for assessing model adequacy; nominal and ordinal logistic regression for categorical response variables with more than two categories; and count data, Poisson regression and log-linear models.

  • General Course Information
    Course Details
    Course Code BIOSTATS 6007EX
    Course Categorical Data & Generalised Linear Models
    Coordinating Unit Public Health
    Term Semester 2
    Level Postgraduate Coursework
    Location/s External
    Units 3
    Contact Online
    Available for Study Abroad and Exchange N
    Prerequisites BIOSTATS 6000EX, BIOSTATS 6001EX, BIOSTATS 6003EX & BIOSTATS 6005EX
    Corequisites BIOSTATS 6006EX
    Restrictions Available to Grad Cert, Grad Dip, M Biostatistics students. Check with School for Non-Award Study.
    Course Description The aim of this course is to enable students to use generalised linear models (GLMs) and other methods to analyse categorical data with proper attention to the underlying assumptions. There is an emphasis on the practical interpretation and communication of results to colleagues and clients who may not be statisticians. The content includes: introduction to and revision of conventional methods of contingency tables especially in epidemiology; odds ratios and relative risks; chi-squared tests for independence; Mantel-Haenszel methods for stratified tables; and methods for paired data. The exponential family of distributions includes: generalised linear models (GLMs), and parameter estimation for GLMs; inference for GLMs-including the use of score, Wald and deviance statistics for confidence intervals and hypothesis tests, and residuals; binary variables and logistic regression models-including methods for assessing model adequacy; nominal and ordinal logistic regression for categorical response variables with more than two categories; and count data, Poisson regression and log-linear models.
    Course Staff

    Course Coordinator: Dr Amy Salter

    Course Coordinator : Dr Amy Salter
    Phone: +61 8313 4619
    Email: amy.salter@adelaide.edu.au
    Location: Level 9, Adelaide Health and Medical Sciences building, North Terrace
    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

    See Study Guides at: http://www.bca.edu.au/resources/
  • Learning Outcomes
    Course Learning Outcomes
    See Study Guides at: http://www.bca.edu.au/resources/

    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)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    .
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    .
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    .
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    .
    Intercultural and ethical competency
    • adept at operating in other cultures
    • comfortable with different nationalities and social contexts
    • able to determine and contribute to desirable social outcomes
    • demonstrated by study abroad or with an understanding of indigenous knowledges
    .
    Self-awareness and emotional intelligence
    • a capacity for self-reflection and a willingness to engage in self-appraisal
    • open to objective and constructive feedback from supervisors and peers
    • able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
    .
  • Learning Resources
    Required Resources
    See Study Guides at: http://www.bca.edu.au/resources/

    Recommended Resources
    See Study Guides at: http://www.bca.edu.au/resources/

    Online Learning
    See Study Guides at: http://www.bca.edu.au/resources/

  • Learning & Teaching Activities
    Learning & Teaching Modes
    See Study Guides at: http://www.bca.edu.au/resources/

    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    See Study Guides at: http://www.bca.edu.au/resources/

    Learning Activities Summary
    See Study Guides at: http://www.bca.edu.au/resources/

    Specific Course Requirements
    See Study Guides at: http://www.bca.edu.au/resources/

    Small Group Discovery Experience
    See Study Guides at: http://www.bca.edu.au/resources/

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    See Study Guides at: http://www.bca.edu.au/resources/

    Assessment Related Requirements
    See Study Guides at: http://www.bca.edu.au/resources/

    Assessment Detail
    See Study Guides at: http://www.bca.edu.au/resources/

    Submission
    See Study Guides at: http://www.bca.edu.au/resources/

    Course Grading

    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.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

    http://www.bca.edu.au/currentstudents.html#curriculum
  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.