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In Table 3, beta values for the NO2 model were incorrect.
The y-axes represent estimated beta values for the DBCG and TCGA data sets, respectively, from the univariate analysis.
Each dot represents a miRNA and the x-axes represent estimated beta values for the Oslo2 cohort from the univariate analysis.
For the utility data, standard errors and mean utility values were used to calculate the alpha and beta values for the utility scores associated with each health state.
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We found correlations between the beta values for these probes to be above 0.80 for the colon adenocarcinoma, lung adenocarcinoma, and lung squamous cell carcinoma data sets, but 0.73 for gliomas, 0.67 for rectal adenocarcinomas, 0.62 for ovarian carcinomas, and 0.25 for renal papillary cell carcinomas (Supplemental Fig. S6A).
The gene list and beta values for these probes are provided in Additional file 4: Tables S2 and S3 respectively.
Pearson correlation coefficients between RRBS %methylation (≥10x depth) and quantile normalized 450K beta values for these 11 samples ranged from 0.92 to 0.95.
Beta values for these probes were generated by sampling from one of two manually chosen beta distributions, each empirically matching the two main modes in typical 450K arrays derived from leukocyte samples.
The Beta value for the three predictive variables suggests that compacting pressure explained the bulk of the variance in the compressive strength in cleft of the briquette produced (Beta = 0.670, t = 25.267, p value = 0.000) and was the best predictor of compressive strength in cleft of the briquette produced.
Distribution of methylation beta value for the Qatari family study (red) and the TwinsUK cohort (blue).
The beta value for the Stunkard silhouette in our model is lower than Kaufert et al.'s model (2.435).
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CEO of Professional Science Editing for Scientists @ prosciediting.com