NDLI: Meta-Analysis for Evaluating Diagnostic Accuracy

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Meta-Analysis for Evaluating Diagnostic Accuracy

Content Provider	Scilit
Author	Yin, Jingjing Kersey, Jing
Copyright Year	2021
Description	The meta-analysis of this chapter is to summarize and synergize the results of a group of diagnostic test accuracy (DTA) studies that evaluate the performance of diagnostic tests of the same disease. One single study of a diagnostic test is usually limited due to the small sample size and restricted population. Therefore, meta-analysis is needed to combine common results and investigates the differences between DTA studies in order to give better conclusions of the performance of the diagnostic tests. This chapter focuses on the statistical analysis basics of the meta-analysis of diagnostic studies for evaluating and comparing the diagnostic accuracy of tests. The methods discussed in this chapter are based primarily on sensitivity and specificity, as most studies report only the sensitivity and specificity. Additionally, analysis based on the summary ROC curve will be discussed. Relevant R and Stata programming code for the methods discussed in this chapter will be given. Book Name: Applied Meta-Analysis with R and Stata
Related Links	https://content.taylorfrancis.com/books/download?dac=C2018-0-95041-6&isbn=9780429061240&doi=10.1201/9780429061240-11&format=pdf
Ending Page	289
Page Count	23
Starting Page	267
DOI	10.1201/9780429061240-11
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-03-19
Access Restriction	Open
Subject Keyword	Book Name: Applied Meta-analysis with R and Stata Mathematical Psychology Dta Diagnostic Tests Meta Analysis Chapter Diagnostic Accuracy Test Accuracy Diagnostic Studies Methods Discussed
Content Type	Text
Resource Type	Chapter

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