Biostatistics for Clinical Research

The mission is to make clinical-biological data informative, by transforming them into information relevant for clinical research and, ultimately, improve the understanding of the oncological disease and outcome of treatments, with the aim of improving patient prognosis. 

This mission is expressed in biostatistical consultancy services with high benefit for observational and experimental clinical studies, in conducting and supporting research projects involving the clinical research area, in promoting the quality and integrity of research and research on gender medicine. This Structure pertains to the Complex Structure Data Science of the Department of Epidemiology and Data Science. 

Main research areas

Biostatistical methodologies for planning and statistical analysis in experimental and observational studies. 

Bioinformatics-statistical techniques for the construction of multiple biomarkers. 

Predictive models of clinical outcomes with the joint use of clinical variables and multiple biomarkers. 

Biostatistical support for the design, statistical analysis, interpretation of results and drafting of manuscripts for experimental and observational clinical studies. 

The Structure catalyzes national and international collaborations and research on specific cancers (sarcoma, melanoma, head and neck, breast, gastrointestinal, liver, CNS, neuroendocrine and urogenital cancers), in both adult and pediatric patients. Examples of statistical methodologies for which particular expertise is available: analysis of survival data (with the application of regression techniques such as mixture models, landmarks, competitive risk models, multistate models), static and dynamic forecasting models, random models forest, meta-analysis techniques. This area also includes the study, maintenance and development of software for carrying out statistical analyses.