Journal of Biometrics & Biostatistics

R Katie Morris

Publications

• Research Article
  Meta-Analysis of Test Accuracy Studies with Multiple and Missing Thresholds: A Multivariate-Normal Model
  Author(s): Richard D Riley, Yemisi Takwoingi, Thomas Trikalinos, Apratim Guha, Atanu Biswas, Joie Ensor, R Katie Morris and Jonathan J DeeksRichard D Riley, Yemisi Takwoingi, Thomas Trikalinos, Apratim Guha, Atanu Biswas, Joie Ensor, R Katie Morris and Jonathan J Deeks
  
  Background: When meta-analysing studies examining the diagnostic/predictive accuracy of classifications based on a continuous test, each study may provide results for one or more thresholds, which can vary across studies. Researchers typically meta-analyse each threshold independently. We consider a multivariate meta-analysis to synthesise results for all thresholds simultaneously and account for their correlation. Methods: We assume that the logit sensitivity and logit specificity estimates follow a multivariate-normal distribution within studies. We model the true logit sensitivity (logit specificity) as monotonically decreasing (increasing) functions of the continuous threshold. This produces a summary ROC curve, a summary estimate of sensitivity and specificity for each threshold, and reveals the heterogeneity in test accuracy across studi.. Read More»
  DOI: 10.4172/2155-6180.1000196

  Abstract PDF