Molecular pathology is becoming more and more important in present day pathology. A major challenge for any molecular test is its ability to reliably detect mutations in samples consisting of mixtures ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Matrix-covariate is now frequently encountered in many biomedical researches. It is common to fit conventional statistical models by vectorizing matrix-covariate. This strategy results in a large ...

Researchers have developed a feature-enhanced ensemble learning method for rapidly estimating the capacity of lithium-ion ...

Freidlin and Korn 9 critically review some of the alternative methods. Their conclusion is that these methods can be useful as secondary analyses, but they are not ready to be used in primary analysis ...