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. 2018 Aug 6;128(9):3826–3839. doi: 10.1172/JCI120874

Figure 4. External validation and performance of the NanoString BodyTime predictors.

Figure 4

(A) Cumulative frequency distributions of the absolute prediction errors of the 1-sample and 2-sample NanoString BodyTime predictors when they were applied to the VALI study data set. In the case of the 1-sample assay, the internal time stamps of all morning (M1) or afternoon (M2) samples were predicted; in the case of the 2-sample assay, the time stamp of the sample ratio was predicted (M1/M2). Proportion refers to the number of predictions with an absolute error that is less than or equal to the specified value divided by the total number of predictions (1-sample, M1: n = 28; 1-sample, M2: n = 28; 2-sample, M1/M2: n = 28). (B) Correlation of DLMO estimated by the BodyTime predictors and DLMO derived from saliva melatonin concentrations (gold standard) assayed by RIA; circular Pearson correlation coefficients (r) and P values are indicated. (C) Bland-Altman analysis of the bias between DLMO derived from saliva melatonin profiles and BodyTime estimations. The dashed horizontal line indicates the mean of the differences (bias); dotted lines represent the upper and lower limits (mean of the differences ± 2 SDs) with their 95% confidence intervals shaded light gray. The morning sample of 1 subject was excluded from A–C because its 12-gene predictor maximum likelihood curve was ambiguous.