Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Statistics in Medicine

• Publication date

  Unknown publication date

• Fields of study

  Medicine

• Identifiers
  DOI 10.1002/sim.4115PMID 21204125
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• No references are available for this paper.

• Approximate confidence intervals for the likelihood ratios of a binary diagnostic test in the presence of partial disease verification

  2019cites this paper
• Determining sample size for a binary diagnostic test in the presence of verification bias

  2018cites this paper
• Letter to the Editor

  2016cites this paper
• Estimation of diagnostic test accuracy without full verification: a review of latent class methods

  2014cites this paper
• Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens

  2012cites this paper
• Three principles to define the success of a diagnostic study could be identified.

  2012cites this paper