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Statistical Packages for Diagnostic Meta-Analysis and Their Application

  • Philipp Doebler
  • Paul-Christian Bürkner
  • Gerta Rücker
Chapter

Abstract

The bivariate model has become a de facto standard in diagnostic meta-analysis. Complex iterative algorithms are needed to fit the model, and thus a meta-analysis of diagnostic accuracy data is much aided by appropriate software packages. Also, graphical methods ease exploration, interpretation, and communication in the context of a diagnostic meta-analysis. This chapter reviews existing software and discusses the relative merits of general packages and specialized packages for DTA meta-analysis. The use of software for diagnostic meta-analysis and especially fitting the bivariate model is illustrated with a sample workflow in the open-source statistical framework R. Some ways to extend the bivariate model and software for the case of multiple cutoff values per primary study are discussed.

Keywords

Diagnostic test accuracy Meta-analysis Software Bivariate model Meta-regression SROC curve Descriptive statistics 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Philipp Doebler
    • 1
  • Paul-Christian Bürkner
    • 2
  • Gerta Rücker
    • 3
  1. 1.Department of StatisticsTU Dortmund UniversityDortmundGermany
  2. 2.Institute of Psychology, Faculty of Psychology and Sport SciencesUniversity of MünsterMünsterGermany
  3. 3.Faculty of MedicineInstitute for Medical Biometry and Statistics, Medical Center – University of FreiburgFreiburg im BreisgauGermany

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