This involves the analysis of large masses of data by statistical methods, in the process of which, solutions to many complex problems have to be sought. Stimulus is thus given to purely ...

Papers in this series provide tutorials on statistical methods that are used in precision oncology, such as methods in discovery phase, diagnostics, and drug development. The goal of the series is to ...

Her research focuses on the design and conduct of clinical trials, cluster/group randomized trials, methods for repeated measurements, and best statistical practices. As a lead statistician ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning ...

This course aims to provide an understanding of the statistical principles behind, and the practical application of, mediation analyses in epidemiology. Please click on the sections below for more ...

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) ...

Correspondence to Dr Zachary Orion Binney, Quantitative Theory and Methods, Emory University Oxford ... both of these assumptions are reasonable in clinical research.1 2 Despite this, the unnecessary ...