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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: J Virol Methods. 2019 May 28;271:113672. doi: 10.1016/j.jviromet.2019.05.012

Table 2.

Statistical parameters from the correlation analysis of FTCA vs FACS and Dynal CD4 counting methods.

Sample set (counting method, sample type, number of samples) Linear fit parameters Pearson correlation coefficient
Slope Intercept R2
HIV negative (Dynal T4, whole blood, n = 15) 1.16 −177.3 0.94 0.97
HIV negative (Dynal T4, CD3 depleted, n = 27) 1.12 −33.9 0.84 0.92
HIV positive (Flow Cytometry, whole blood, n = 10) 0.85 57.4 0.83 0.91
HIV positive + negative (Flow Cytometry, whole blood, n = 10 + 2) 0.66 150.7 0.77 0.88
All samples (all methods, all sample types, n = 54) 0.96 1.1 0.94 0.97