Combining clinical and molecular data in regression prediction models: insights from a simulation study
Combining clinical and molecular data in regression prediction models: insights from a simulation study
Data integration, i.e. the use of different sources of information for data analysis, is becoming one of the most important topics in modern statistics. Especially in, but not limited to, biomedical applications, a relevant issue is the combination of low-dimensional (e.g. clinical data) and high-dimensional (e.g. molecular data such as …