Programme of Wednesday, 21 June

Index

Invited Session
Statistical Learning for health research and omics data
Organizer/Chair: Laura Anderlucci (Università di Bologna)
Discussant: Cinzia Viroli (Università di Bologna)
Room: T32
Floor: ground
Short summary: The session offers a broad overview of the different modelling issues arising in health and biological research. From the prediction of the ordinal response to treatment in a cohort study of thyroid cancer to the modelling of microbiome data via a structured finite mixture model that clusters patients sharing similar taxa compositions, to the application of symmetrical graphical lasso on functional MRI data for the identification of brain networks.

#	Papers
1.	An alternative to the Dirichlet-multinomial regression model for microbiome data analysis Author(s)  Roberto Ascari   Sonia Migliorati   Andrea Ongaro
2.	Modelling ordinal response to treatment in a real-world cohort study Author(s)  Marco Alfo'   Silvia D'Elia   Maria Francesca Marino
3.	On the application of the symmetric graphical lasso for paired data Author(s)  Saverio Ranciati   Alberto Roverato