- Evaluating medical tests and biomarkers
- In primary studies and systematic reviews
- Award date
- 13 October 2017
- Number of pages
- Document type
- PhD thesis
- Faculty of Medicine (AMC-UvA)
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.
Thesis (complete) (Embargo up to and including 13 October 2019)
3: Statistical methods for comparative meta-analysis of diagnostic tests: A joint meta-analytic approach (Embargo up to and including 13 October 2019)
5: The Area Under theHSROCcurve may be a biased performance measure for meta-analysis in diagnostic accuracy studies: A simulation study (Embargo up to and including 13 October 2019)
Chapter 8: Urinary biomarkers of renal injury for the detection of progressive chronic allograft dysfunction: Prediction of K/DOQI chronic kidney disease stage transition (Embargo up to and including 13 October 2019)
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