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Essential analytical methods necessary for health-related research: data description, basic probability, confidence intervals, hypothesis testing, sample size calculation, epidemiological measures of association, and simple linear regression. A knowledge of basic algebra is recommended.
This paper provides an introduction to the use of statistical methods to answer specific research questions in health-related areas.
|Teaching period||Semester 1 (On campus)|
|Domestic Tuition Fees (NZD)||$1,276.25|
|International Tuition Fees||Tuition Fees for international students are elsewhere on this website.|
- Limited to
- MHealSc, MPharm, MSc, PGDipHealSc, PGDipMLSc, PGDipSci, PGDipPharm
Suitable for students who are interested in upgrading their statistical skills for carrying out health-related quantitative research.
- Teaching staff
- Convenor and Lecturer: Jiaxu Zeng
- Paper Structure
This paper covers the following main topics:
- Introduction to biostatistics
- Descriptive analysis
- Introduction to diagnostic testing
- Probability distributions
- Sampling distributions
- Confidence intervals
- Hypothesis testing
- Power and sample size calculation
- Introduction to epidemiological studies
- Critical appraisal of health research
Altman, Douglas G (1990) Practical Statistics for Medical Research
- Graduate Attributes Emphasised
- Communication, Critical thinking, Research.
View more information about Otago's graduate attributes.
- Learning Outcomes
Students who successfully complete this paper will
- Perform basic statistical analyses to address simple research questions using a statistical software package (Stata)
- Understand the principles behind basic statistical analyses
- Understand how to interpret and present basic statistical analyses