A method was developed for discovering and validating therapeutically relevant patient subsets using a new paradigm on the basis of predictive classification rather than multiple hypothesis testing. A ...

An observation is to be classified into one of two multivariate normal distributions with equal covariance matrices. When the parameters are unknown, four methods of estimating the likelihood ratio, ...

We propose a united approach to maximum likelihood estimation, classification, and statistical learning in the context of finite mixture models, based on observations that can be considered a ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

Solve Real-World Problems With Applied Statistics. Applied statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...

The environmental problems caused by adverse effects of plastics and other materials has increased interest for bio-based materials. In this context, projects such as the EU funded BioMonitor set out ...

The first two levels (digits) of SBI are aligned with the ISIC (global level). With a few exceptions, the first four digits of the SBI are identical to the European NACE. The fifth level is specific ...