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.
|Paper title||Nutritional Biostatistics|
|Teaching period||Semester 1 (On campus)|
|Domestic Tuition Fees (NZD)||$1,748.85|
|International Tuition Fees||Tuition Fees for international students are elsewhere on this website.|
- The paper will assume a knowledge of basic algebra.
- More information link
- View more information on the Department of Human Nutrition's website
- Teaching staff
- Paper Structure
This paper consists of two components that run concurrently throughout the semester:
- 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
- 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.
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