Leads: Marcus Munafò and Philippa Davies

Evidence synthesis is the process of systematically collecting and combining all the evidence on a particular topic in order to arrive at a more complete answer to a research question. When evidence from several different types of study - each with its own strengths and weaknesses - is used, the process is known as triangulation. You can learn more about triangulation by watching the video.

In this strand, we will use and develop automation, text mining, and risk-of-bias tools and apply these to our understanding of the mechanistic and causal pathways that lead to cancer. We will also use these tools to help in diagnosis, prognosis (predicting the likely course or outcome of cancer) and the prediction of responses to treatment.

We will also explore formal approaches to triangulation, such as the use of multi-parameter models.