The Italian Thyroid Cancer Observatory foundation maintains a database including all records on patients with confirmed diagnosis of thyroid cancer reported by several special- ized centers in the country. One of the objectives of this project is to monitor the evolution over time of the response to treatment, which is a synthesis of serum values and ultrasound imaging, measured over an ordinal 4-point scale. The response to treatment is measured at 12 months, 3 and 5 years since the initial treatment; patients may underwent additional treatments, between measurement occasions, which may alter the initial risk composition. Our analysis focuses on modelling the response at 12 months as a function of baseline risk classification, clinical and surgical information. Further, we aim at exploring the transition between response categories when we consider the 12 months and 3 years measurements, since these may be affected by additional treatments occurred in the meanwhile.

Modelling ordinal response to treatment in a real-world cohort study / Marco Alfò, Maria Francesca Marino, Silvia D’Elia. - ELETTRONICO. - (2023), pp. 0-0. (Intervento presentato al convegno SIS 2023: Statistical Learning, Sustainability and Impact Evaluation).

Modelling ordinal response to treatment in a real-world cohort study

Maria Francesca Marino;
2023

Abstract

The Italian Thyroid Cancer Observatory foundation maintains a database including all records on patients with confirmed diagnosis of thyroid cancer reported by several special- ized centers in the country. One of the objectives of this project is to monitor the evolution over time of the response to treatment, which is a synthesis of serum values and ultrasound imaging, measured over an ordinal 4-point scale. The response to treatment is measured at 12 months, 3 and 5 years since the initial treatment; patients may underwent additional treatments, between measurement occasions, which may alter the initial risk composition. Our analysis focuses on modelling the response at 12 months as a function of baseline risk classification, clinical and surgical information. Further, we aim at exploring the transition between response categories when we consider the 12 months and 3 years measurements, since these may be affected by additional treatments occurred in the meanwhile.
2023
Book of the short Papers SIS 2023
SIS 2023: Statistical Learning, Sustainability and Impact Evaluation
Marco Alfò, Maria Francesca Marino, Silvia D’Elia
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1335716
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