Good research has always been about evidence. Reliable evidence. The bias in research node aims to ensure that research, and related policy decisions, rest on strong and unbiased pillars of evidence.
This node forms part of the Evidence, Policy and Influence Collaborative (EPIC).
Our vision is that all researchers understand and mitigate risks of bias in research, so health policies based on these findings are founded on strong pillars of evidence. The Charles Perkins Centre is the perfect place to collaborate with content area experts to achieve this goal.
Obesity, diabetes and cardiovascular disease are complex conditions because they result from a mix of biological, social, cultural and other factors. Evidence-based decisions are needed to prevent and treat these conditions, but scientists, methodologists and policy makers can’t work in isolation to tackle these complex issues.
We use quantitative and qualitative methods to examine experimental bias, and investigate other factors that influence design, conduct and publication of human and animal research. Part of our work involves raising awareness of the lack of research reproducibility and transparency, and poor reporting of research.
Researchers in this Node are also involved in designing and testing rigorous interventions to:
As part of the Evidence, Influence and Policy Collaborative (EPIC) Research Group, this node has more than 30 local and international members.
Our research is already having an impact.