• 

  The group of Biostatistics provides statistical-methodological support to the study design and implementation of the clinical studies of colorectal (CLOVIS), breast (BABE) and prostate (PRIAS) cancer tasks. Specifically, the activity will be focused on the validation of the identified miRNAs-based signatures on new subjects enrolled within the ongoing clinic studies using ad-hoc statistical approaches and in the development of an algorithm for subjects classification into groups of risk. Finally, the group will provide support for the evaluation of the gain introduced by the developed of miRNAs-based assay into the current diagnostic workflow.

   

  Staff

  Paolo Verderio

  PhD – biostatistician

  He is responsible of the group of Biostatistics and he will collaborate in the study design of the extension studies and will supervise the statistical analysis of the miRNAs-based data.

  Sara Pizzamiglio

  MSc – biostatistician

  She will collaborate in the study design and in the statistical analysis of the colon-rectal extension study (CLOVIS).

  Chiara Maura Ciniselli

  PhD – biostatistician

  She will collaborate in the study design and she will perform the statistical analysis of the extension studies of the colon-rectal (CLOVIS), breast (BABE) and prostate (PRIAS) tasks.

  Maddalena Plebani

  PhD – biostatistician

  She will collaborate in the study design and she will perform the statistical analysis of the extension studies of the breast (BABE) and prostate (PRIAS) tasks.

• 

  The Unit is involved in supporting the breast, lung, melanoma and prostate research groups, both in the design and analysis phases. We handle data management, statistical analyses and reporting and interpretation of results. The group large expertise in observational studies and clinical trials covers different biostatical fields (e.g. survival analysis, event history analysis, longitudinal data modelling, categorical data analysis, multivariate modelling). The activity spans from the study design to the data statistical analysis and manuscript preparation. Whithin the Project, the statistical support activity is paralleled by development and application of advanced methodological tools and by the search for the pertinent software implementation. The methodological activity will be mainly focused on: i) external validation of the classifiers based on circulating proteins and mass spectrometry (MS) signals; ii) exploration and application of different algorithms for the management and imputation of mass spectrometry signals below the instrument detection limit; iii) conduction of a simulation study to compare the properties of different Random Forest (RF) algorithms for binary outcomes. This will allow us to include the best performing RF algorithm in a procedure we developed during the past project years in order to derive robust feature ranking and develop a cross validated classifier; Iv)  exploration and application of statistical methods for integration of the different validated classifiers and for vertical data integration, i.e. integration of different kind of high-throughput omics data extracted from different data sources of all levels of gene, miRNA, proteins and metabolites.

   

  Staff

  Rosalba Miceli

  Senior biostatistician

  Statistical analysis planning and supervision; reports and manuscripts writing.

  Elena Landoni

  Biostatistician

  Statistical analysis execution; reports and manuscript writing.

   

Copyright © 2017 INT

Fondazione IRCCS Istituto Nazionale dei Tumori

Alla rights reserved

• 

  The group of Biostatistics provides statistical-methodological support to the study design and implementation of the clinical studies of colorectal (CLOVIS), breast (BABE) and prostate (PRIAS) cancer tasks. Specifically, the activity will be focused on the validation of the identified miRNAs-based signatures on new subjects enrolled within the ongoing clinic studies using ad-hoc statistical approaches and in the development of an algorithm for subjects classification into groups of risk. Finally, the group will provide support for the evaluation of the gain introduced by the developed of miRNAs-based assay into the current diagnostic workflow.

   

  Staff

  Paolo Verderio

  PhD – biostatistician

  He is responsible of the group of Biostatistics and he will collaborate in the study design of the extension studies and will supervise the statistical analysis of the miRNAs-based data.

  Sara Pizzamiglio

  MSc – biostatistician

  She will collaborate in the study design and in the statistical analysis of the colon-rectal extension study (CLOVIS).

  Chiara Maura Ciniselli

  PhD – biostatistician

  She will collaborate in the study design and she will perform the statistical analysis of the extension studies of the colon-rectal (CLOVIS), breast (BABE) and prostate (PRIAS) tasks.

  Maddalena Plebani

  PhD – biostatistician

  She will collaborate in the study design and she will perform the statistical analysis of the extension studies of the breast (BABE) and prostate (PRIAS) tasks.

• 

  The Unit is involved in supporting the breast, lung, melanoma and prostate research groups, both in the design and analysis phases. We handle data management, statistical analyses and reporting and interpretation of results. The group large expertise in observational studies and clinical trials covers different biostatical fields (e.g. survival analysis, event history analysis, longitudinal data modelling, categorical data analysis, multivariate modelling). The activity spans from the study design to the data statistical analysis and manuscript preparation. Whithin the Project, the statistical support activity is paralleled by development and application of advanced methodological tools and by the search for the pertinent software implementation. The methodological activity will be mainly focused on: i) external validation of the classifiers based on circulating proteins and mass spectrometry (MS) signals; ii) exploration and application of different algorithms for the management and imputation of mass spectrometry signals below the instrument detection limit; iii) conduction of a simulation study to compare the properties of different Random Forest (RF) algorithms for binary outcomes. This will allow us to include the best performing RF algorithm in a procedure we developed during the past project years in order to derive robust feature ranking and develop a cross validated classifier; Iv)  exploration and application of statistical methods for integration of the different validated classifiers and for vertical data integration, i.e. integration of different kind of high-throughput omics data extracted from different data sources of all levels of gene, miRNA, proteins and metabolites.

   

  Staff

  Rosalba Miceli

  Senior biostatistician

  Statistical analysis planning and supervision; reports and manuscripts writing.

  Elena Landoni

  Biostatistician

  Statistical analysis execution; reports and manuscript writing.

   

Copyright © 2017 INT

Fondazione IRCCS Istituto Nazionale dei Tumori

All rights reserved