Comparison of predictive values of two diagnostic tests from the same sample of subjects using weighted least squares.
Screening and diagnostic tests are important in disease prevention or control. The predictive values of positive and negative (PPV and NPV) test results are two of four operational characteristics of a screening test. We review an existing method based on the generalized estimating equation (GEE) methodology for comparing predictive values from the same sample of subjects and propose two Wald test statistics derived from the weighted least squares (WLS) method for the analysis of categorical data. Using these results, we propose sample size calculation formulae for this problem. Simulation studies are conducted to compare the performances of the two Wald test statistics (one based on the difference of two PPVs or NPVs, another based on the logarithm of the ratio of two PPVs or NPVs) and the score/Wald test statistic derived from GEE. We recommend using the difference-based WLS approach.
Wang
Wenquan
W
Biostatistics and Bioinformatics Unit, Comprehensive Cancer Center, University of Alabama at Birmingham, 1802 6th Avenue South, NP 2540, Birmingham, AL 35294, USA. wwang@uab.edu
Davis
Charles S
CS
Soong
Seng-Jaw
SJ
D000792:Angiography / Q000592:standards; D002637:Chest Pain / Q000175:diagnosis; D003198:Computer Simulation; D003324:Coronary Artery Disease / Q000175:diagnosis; D003955:Diagnostic Tests, Routine / Q000592:standards*; D005080:Exercise Test / Q000592:standards; D006801:Humans; D016018:Least-Squares Analysis; D011237:Predictive Value of Tests; D018401:Sample Size