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Ph.d. defense by Jorne Biccler

Department of Clinical Medicine, Aalborg University and Department of Haematology, Aalborg University Hospital are pleased to invite to PhD defense by MSc, Jorne Biccler, who will defend the thesis entitled: Statistical and machine learning methods for the dynamic prediction of prognosis in haematological malignancies

Time

15.03.2019 kl. 14.00 - 17.00

Description

Time and place

14:00, Friday 15 March, 2019
In the auditorium, Forskningens Hus, Aalborg University Hospital


Supervisors

Tarec C. El-Galaly, Professor, Aalborg University

Martin Bøgsted, Professor, Aalborg University

Mats Jerkemand, Professor, Lund University

Peter de Nully Brown, MD, Copenhagen University Hospital

 

Assessment Committee

Søren Paaske Johnsen, Professor, Aalborg University (Chairmann)

Mette Nørgaard, Professor, Aarhus University

Paul C. Lambert, Professor, University of Leicester

 

About the PhD thesis

Lymphomas are cancers of the blood system. The outlook of newly diagnosed patients ranges from excellent to critical and is highly depended on the subtype and disease stage. Currently, the staging of these patients is often based on simple scores that were constructed using sub-optimal statistical techniques. A substantial part of this dissertation describes the loss of information that occurs due to the use of these simple scores and proposes new alternatives.


In addition to being depended on the stage and disease subtype, the outlook of these patients also evolves given that patients survive the critical period after their initial diagnosis. For example, in this dissertation we show that for young Hodgkin lymphoma patients the relapse risk becomes minimal given that they survive two years without dying or experiencing a relapse.


This PhD dissertation consists of 6 papers:

Three discuss the use of prognostic models for the survival of lymphoma patients and investigates the loss of information due to
Two describe how the prognosis evolves given that patients reach milestones such as remaining relapse free for a number of years after their initial diagnosis.
The final paper proposes a new estimation technique for survival models which is not as strongly influenced by outliers as the standard estimation method.

Host

The department of Clinical Medicine, Aalborg University and Department of Haematology, Aalborg University Hospital

Address

Auditoriet, Forskningens Hus, Sdr. Skovvej 15, 9000 Aalborg

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