This thesis addresses methodological problems in the evaluation of tests and biomarkers, in quite distinct types of research. The first part addresses systematic reviews and meta-analysis of diagnostic accuracy: discrimination between diseased and non-diseased (cross-sectional design; dichotomous test use). The second part presents primary studies of prognostic factors and clinical prediction rules: the probability of developing an event (continuous test result) in studies that include a time element. Both parts focus on discrimination between patient groups and the best ways to assess and express the discriminating ability of a test or model.
|Qualification||Doctor of Philosophy|
|Award date||13 Oct 2017|
|Publication status||Published - 2017|