Anticipating missing reference standard data when planning diagnostic accuracy studies

Christiana A. Naaktgeboren, Joris A. H. de Groot, Anne WS Rutjes, Patrick M. Bossuyt, Johannes B. Reitsma, Karel G.M. Moons

2016-02-09articleBMJ50 citationshybrid

No readable copy stored yet — this record is metadata only.

Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Statistical Methods in Epidemiology

Abstract

Results obtained using a reference standard may be missing for some participants in diagnostic accuracy studies. This paper looks at methods for dealing with such missing data when designing or conducting a prospective diagnostic accuracy study

Citations in this library

Stored only when both papers are in the corpus — 50 citations exist upstream.

References

2015STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

2004Sources of Variation and Bias in Studies of Diagnostic Accuracy

2006Evidence of bias and variation in diagnostic accuracy studies

2007Evaluation of diagnostic tests when there is no gold standard. A review of methods

2006Comparative accuracy: assessing new tests against existing diagnostic pathways

2009A review of solutions for diagnostic accuracy studies with an imperfect or missing reference standard

2006When Is Measuring Sensitivity and Specificity Sufficient To Evaluate a Diagnostic Test, and When Do We Need Randomized Trials?

2011Verification problems in diagnostic accuracy studies: consequences and solutions

Cited by

2022STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration