An introduction to statistical reasoning
Tuesday 4 October, 9:00am-2:30pm
Registration opens: Tuesday 20 September, 10am
Burwood Corporate Centre, Deakin Burwood Campus
Statistics pervades all areas of health research, however some of its fundamental principles are not always well understood. This workshop will introduce the basic principles of statistical inference from a conceptual point of view: 1) Estimation (point and confidence interval), and 2) Hypothesis Testing.
Keeping formulae and algebra to a minimum, we will cover topics such as probability distribution, variability, randomness, sampling distributions, point estimation, confidence intervals, hypothesis testing, type of errors and power of a test.
Using examples we will show how research hypotheses translate into statistical hypotheses and we will discuss the implications of this step in terms of the statistical method to be selected.
Data simulation will be used
- as an aid to the interpretation of confidence intervals, p-values and power of a test,
- to illustrate the uncertainty of the estimates obtained from one study.
Who should attend?
PhD students and early career researchers within the Faculty of Health who would like to gain further understanding on statistical reasoning. Previous knowledge of statistics will not be assumed, but it will be a plus.
Workshop participant numbers are capped to allow for discussion and interaction. We expect a high demand for these workshops therefore we strongly encourage registration ONLY if you can attend. We do understand that unforeseen circumstances occur which can prevent attendance, and in that case we ask that you cancel your registration AS A PRIORITY so that places can be filled by other interested candidates.
Liliana Orellana, PhD, Associate Professor of Biostatistics, Deakin University