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||First Semester|
|Domestic Tuition Fees (NZD)||$1,193.00|
|International Tuition Fees (NZD)||$4,745.00|
- Limited to
- MHealSc, MPharm, MSc, PGDipHealSc, PGDipMLSc, PGDipSci, PGDipPharm
- Suitable for students from any disciplines who are interested in learning introductory level biostatistics. A basic knowledge of algebra is assumed.
- Teaching staff
- Convenor and Lecturer: Jiaxu Zeng
- Paper Structure
- This paper covers the following main topics:
- Introduction to epidemiological studies
- Descriptive statistics and graphical summaries
- Introduction to probability
- Probability distributions
- Sampling distributions
- Confidence intervals
- Hypothesis testing
- Power and sample size calculation
- Analyses for epidemiological studies
- Simple linear regression
- Teaching Arrangements
- Lecture once a week, 2.5 hours, plus computer laboratory work, 2 hours
- Kirkwood, BR & Sterne, AC (2003) Essential Medical Statistics
- Graduate Attributes Emphasised
- Communication, Critical thinking, Research.
View more information about Otago's graduate attributes.
- Learning Outcomes
- 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