Designing a clinical trial. What should I care about?
Monday 17 October, 9:00am-5:00pm
Registration opens: Monday 3 October, 10am
Burwood Corporate Centre, Deakin Burwood Campus
A sound study design is of vital importance when conducting your research. Choices made at the design stage will drastically impact the results of your study. A design that has been thought through to the last detail and is perfectly aligned with your research aims will have a better chance of producing useful evidence.
During the morning we will discuss in practical terms the fundamental elements to be considered in the planning and execution of controlled clinical trials designed to evaluate biomedical, behavioural or community interventions. Topics will include: target population definition, outcome/endpoint selection and measurement, randomization methods, blinding of intervention, bias, attrition and post-randomization problems. The effect of features such as power, generalizability, validity, practicality and cost on the evidence provided by a trial will be discussed.
Using examples we will illustrate different types of designs including: completely and clustered randomized designs, cross-over and parallel designs, one-way and factorial designs, fixed and adaptive designs. We will also discuss the relative merits and feasibility of each approach. The close relationship between design and statistical analysis plan will be emphasized.
During the afternoon we will discuss real research questions posed by some of the participants. Those participants who want to volunteer will have the opportunity to present their research question and their proposed study designs. Strength, weakness and feasibility of these case studies will be discussed.
Who should attend?
PhD students and early career researchers within the Faculty of Health planning to conduct a clinical trial or a community intervention in order to answer their research questions.
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