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    Fundamental biostatistical issues encountered in the design and analysis of quantitative/qualitative research projects. Topics include data description, basic probability concepts, statistical inference, hypothesis testing, regression models and study design.

    About this paper

    Paper title Nutritional Biostatistics
    Subject Human Nutrition
    EFTS 0.1667
    Points 20 points
    Teaching period Semester 1 (On campus)
    Domestic Tuition Fees ( NZD ) $1,797.86
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    The paper will assume a knowledge of basic algebra.
    Teaching staff

    Associate Professor Anne-Louise Heath
    Dr Jiaxu Zeng

    Paper Structure

    This paper consists of two components that run concurrently throughout the semester:

    1. HASC 413: Teaches students how to perform basic statistical analyses to address simple research questions using a statistical software package (Stata), the principles behind basic statistical analyses, and how to interpret and present basic statistical analyses
    2. Nutrition specific content: Gives students the opportunity to learn how to identify key sources of information in a new research methods topic, and to use this information to develop a structured understanding of this topic that they can communicate effectively to others
    Teaching Arrangements

    All of the classes and assessments for HASC 413.

    An additional 2-hour fortnightly class and an additional two assignments are also required.


    Essential textbooks:
    Altman, Douglas G (1990) Practical Statistics for Medical Research

    Graduate Attributes Emphasised
    Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Cultural understanding, Information literacy, Research, Teamwork.
    View more information about Otago's graduate attributes.
    Learning Outcomes

    By the end of HUNT 454 students should be able to:

    • Discuss ways in which statistical methods can be used to address research questions
    • Describe the principles behind statistical analyses
    • Use a statistical computer package for elementary data analyses
    • Interpret results from data analyses
    • Critically appraise published studies, demonstrating the ability to assess study design and methods of data analysis, as well as interpret results
    • Identify key sources of information in a new research methods topic
    • Use this information to develop a structured understanding of this topic
    • Discuss at least one research method through a Māori or Pacific cultural lens
    • Demonstrate an ability to work effectively with other students on a common project
    • Demonstrate an ability to communicate scientific concepts to an audience effectively
    • Demonstrate an ability to facilitate and contribute to group discussion


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system

    Computer Lab

    Stream Days Times Weeks
    A1 Friday 10:00-11:50 9-12, 15-22


    Stream Days Times Weeks
    A1 Monday 14:00-15:50 9-13, 15-22
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