# HASC413 Biostatistics

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.

Paper title Biostatistics HASC413 Health Sciences 0.125 15 points Semester 1 (On campus) \$1,311.38 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
jimmy.zeng@otago.ac.nz
Teaching staff
Convenor and Lecturer: Jiaxu Zeng
Paper Structure

This paper covers the following main topics:

1. Introduction to biostatistics
2. Descriptive analysis
3. Introduction to diagnostic testing
4. Probability distributions
5. Sampling distributions
6. Confidence intervals
7. Hypothesis testing
8. Power and sample size calculation
9. Introduction to epidemiological studies
10. Critical appraisal of health research
Textbooks

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

Communication, Critical thinking, Research.
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

Dr Jimmy Zeng

## Overview

This paper 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.

## Objectives

Following completion of this course, you should be able to:

• Understand important statistical concepts and terminology
• Understand the basic statistical framework used in the design and analysis of health related studies
• Use a computer software package for elementary data analysis
• Complete a detailed statistical analysis of a simple study
• Critically appraise scientific research from a statistical perspective
• Understand the principles behind more complex statistical analyses

## Timetable

### Semester 1

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Moodle

#### Computer Lab

Stream Days Times Weeks
Attend
A1 Friday 10:00-11:50 9-13, 16-22

#### Lecture

Stream Days Times Weeks
Attend
A1 Monday 14:00-15:50 9-14, 16-22