Overview
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.
About this paper
| Paper title | Biostatistics |
|---|---|
| Subject | Health Sciences |
| EFTS | 0.125 |
| Points | 15 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,514.75 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Limited to
- MHealSc, MPharm, MSc, PGDipHealSc, PGDipMLSc, PGDipSci, PGDipPharm, BMLSc(Hons)
- Eligibility
Suitable for students who are interested in upgrading their statistical skills for carrying out health-related quantitative research.
- Contact
Course Convener: jimmy.zeng@otago.ac.nz
Administrator: amara.boyd@otago.ac.nz
- Teaching staff
Convener and Lecturer: Dr Jiaxu Zeng
- Paper Structure
This paper covers the following main topics:
- Introduction to biostatistics
- Descriptive statistics and graphical summaries
- Introduction to diagnostic testing
- Sampling distributions
- Confidence intervals
- Hypothesis testing
- Power and sample size calculation
- Introduction to epidemiological studies
- Analyses for epidemiological studies
- Critical appraisal of health research
- Textbooks
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
Overview
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 covers the fundamental biostatistical issues encountered in the design and analysis of a quantitative research project. It will emphasise computer data analysis with the goal of providing students with the tools for basic analysis of their research projects, including statistical aspects of study design, data description, handling data on a computer, using a statistical software package and carrying out and interpreting simple statistical analyses. Familiarity with basic mathematical concepts is essential.
About this paper
| Paper title | Biostatistics |
|---|---|
| Subject | Health Sciences |
| EFTS | 0.125 |
| Points | 15 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Limited to
- MHealSc, MPharm, MSc, PGDipHealSc, PGDipMLSc, PGDipSci, PGDipPharm, BMLSc(Hons)
- Eligibility
Suitable for students who are interested in upgrading their statistical skills for carrying out health-related quantitative research.
- Contact
Course Convener: nisa.widyastuti@otago.ac.nz
Administrator: amara.boyd@otago.ac.nz
- Teaching staff
Convener and Lecturer: Dr Nisa Widyastuti
- Paper Structure
This paper covers the following main topics:
- Introduction to biostatistics
- Descriptive statistics and graphical summaries
- Introduction to diagnostic testing
- Sampling distributions
- Confidence intervals
- Hypothesis testing
- Power and sample size calculation
- Introduction to epidemiological studies
- Analyses for epidemiological studies
- Critical appraisal of health research
- Textbooks
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