One of the main purposes of a phase dose-finding trial in oncology is to identify a tolerable dose with an indication of therapeutic benefit to administer to subjects in subsequent phase Ⅱ and Ⅲ trial
In most classification applications,classifiers are trained with labeled data.Modern computing and communication technologies can make data collection procedures very efficient.
In the study of cancer and other complex diseases,multiple types of omics measurements(including mRNA gene expression,methylation,copy number variation,SNP,etc.)have been found to play important roles
A self-starting monitoring scheme is proposed in this paper for simultaneous detection of variance and coefficients in linear profiles with unknown error distribution.
We combines Besags spatial-temporal Gaussian autoregressions within a state-space model and presents a novel matrix-free h-likelihood method for statistical inference.