Epistemology
Confounding should be always be a concern for any researcher who is using observational data to address questions about causes, whether these questions arising from the health sciences, social sciences or other disciplines. Confounding is a study bias and, if not addressed, will lead to an incorrect conclusion about the size of the effect of X on Y. The bias can be in either direction – the effect can be underestimated or overestimated - and an effect can be suggested when none exists in reality. Find out more...
The Bayesian approach to statistical inference and decision analysis may be described in many ways, some alas so simplistic that its subtlety and power can easily be misunderstood. Find out more...
In this talk I will give a non-technical overview of some of the key features of formal logic, including a very brief overview of its historical development, and the role it has played in modern philosophical analysis. I’ll also talk about how the subject is of benefit to students outside of philosophy. Find out more...
Whereas once archival research may have conjured up images of dull historians leafing through grey documents in a dusty old room in search of official facts, the possibilities of archival research have been thoroughly transformed by a number of conceptual, political and technological shifts which we explore in addressing what is archival research, and how and why one might go about doing it. Find out more...