BIOSTATS 6007EX - Categorical Data and Generalised Linear Models

External - Semester 2 - 2014

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 and Generalised Linear Models
    Coordinating Unit Public Health
    Term Semester 2
    Level Postgraduate Coursework
    Location/s External
    Units 3
    Contact Nil
    Prerequisites BIOSTATS 6000EX, BIOSTATS 6001EX, BIOSTATS 6003EX & BIOSTATS 6005EX
    Corequisites BIOSTATS 6006EX
    Restrictions Available to Grad Cert, Grad Dip, M Biostatistics students only
    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 Timetable

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

  • Learning Outcomes
    Course Learning Outcomes

    No information currently available.

    University Graduate Attributes

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  • Learning & Teaching Activities
    Learning & Teaching Modes

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    Workload

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    Learning Activities Summary

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  • 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

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    Assessment Detail

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    Submission

    No information currently available.

    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.

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    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.

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  • Policies & Guidelines
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