A new likelihood approach to inference about predictive values of diagnostic tests in paired designs

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Intuitively, one only needs patients with two positive screening test results for positive predictive values comparison, and those with two negative screening test results for contrasting negative predictive values. Nevertheless, current existing methods rely on the multinomial model that includes superfluous parameters unnecessary for specific comparisons. This practice results in complex statistics formulas. We introduce a novel likelihood approach that fits the intuition by including a minimum number of parameters of interest in paired designs. It is demonstrated that our robust score test statistic is identical to a newly proposed weighted generalized score test statistic. Simulations and real data analysis are used for illustration.

Original languageEnglish
Pages (from-to)541-548
Number of pages8
JournalStatistical Methods in Medical Research
Volume27
Issue number2
DOIs
StatePublished - 1 Feb 2018

Keywords

  • diagnostic test
  • negative predictive value
  • paired design
  • positive predictive value
  • Robust likelihood

Fingerprint

Dive into the research topics of 'A new likelihood approach to inference about predictive values of diagnostic tests in paired designs'. Together they form a unique fingerprint.

Cite this