Friday 12 February 2016
UPDATE: THIS COURSE IS NOW FULL. If you wish to be put on a waiting list please email firstname.lastname@example.org
Introduction to basic biostatistics for health research is an overview/refresher course on biostatistics, with a combination of classroom-based material, covering some of the basic concepts of biostatistics, and an integrated practical introduction to basic statistical procedures using the freeware RCommander software package.
- A brief introduction to the role of statistics in research
- Basic statistics: means, medians, standard deviations, proportions, and rates
- Making inferences from a sample
- Sample variability and confidence intervals
- Basic methods for numerical outcomes: the t-test
- Basic methods for categorical outcomes: the chi-squared test
- Basic methods for count data: rates and relative risk
- Practical sessions: basic biostatistics using Epi Info
Style of Course
- Computer lab - hands-on course combining theory, discussion and practical exercises. Course attendance is limited to 16 participants.
Who should attend?
The course is aimed at anyone who would like to better understand the basics of biostatistics. There is no expectation of experience with either biostatistics or any software package – the material is aimed at people who have never used biostatistical methods before, or those who would like a compact refresher course with some hands-on exercises.
|9am||Data types; summary statistics; & the Normal distribution|
|11am||Confidence intervals and hypothesis tests|
|1:30pm||Methods for categorical outcome data|
|3:30pm||Odds ratios and relative risks|
- Dr James Stanley is a Senior Research Fellow and consulting biostatistician at the University of Otago, Wellington. He has taught biostatistics to postgraduate students since 2008, as well as working on applied biostatistics projects on (among other things) disparities in cancer survival, women and children's health, and mental health.
- Dr Dalice Sim is a Senior Research Fellow and consulting biostatistician at the University of Otago, Wellington, and has taught introductory statistics to researchers and postgraduate students since 2010, principally at Victoria University. Currently she is collaborating on research projects in societal disparities and inequalities.
$300 early bird, $400 after 22 December 2015.
A 50% discount is available to full-time students, those unwaged and University of Otago staff.