Various visual predictive checks, including VPC, standardized VPC, prediction-corrected VPC, and normalized prediction distribution error, were performed for the base and final covariate models, overall for all data and stratified by study, diagnosis, weight, or sex.
An uncertainty analysis of random errors was performed for all the enzymatic saccharification data sets.
In addition, logistic regression with robust standard errors was performed for the outcomes related to virological failure and drug resistance.
In the process of labeling, trials and errors were performed for each factor under investigations till obtains the optimum value.
The quality control for genotyping error was performed at Duke University Genomic Laboratories as previously described [ 52].
Secondly, correction for the systematic error was performed with the median value of the overall Cy5 signal.
This error analysis was performed for typical enhancement curves seen in the clinical study.
Then, the training procedures were performed by using the data for the first 3 days, and verification of the prediction error degree estimation was performed for the remaining 1 day, i.e., the training and test corresponded to the first 3 days and the remaining 1 day (fourth day), respectively.
To reduce the chance of type I error, a Bonferroni correction was performed for multiple comparisons.
Evaluation of quantification errors and statistic analysis was performed for the identification of reliable protein expression changes as a result of AA treatment.
