Statistical methods for the evaluation of diagnostic biomakers in the presence of censoring

Abstract

Biomarkers play a significant role in decision making and are considered as the key to early diagnosis which may in turn lead to complete cure of a disease or the limitation of its progress. It is desired that the development of new biomarkers will contribute to obtaining more predictive information regarding the disease status of a patient as well as to providing a better understanding concerning the biological mechanism of various diseases. The evaluation of diagnostic markers is a necessary procedure before a medical test is used. In this thesis we will introduce new methodologies that contribute to the evaluation of a marker regarding mainly its diagnostic accuracy in the presence of censoring.Censoring is a phenomenon primarily met in survival analysis in which patients aremonitored over time until they experience an event. This event is usually death whenfatal diseases are involved. In many cases, due to practical, psychological or other rea-sons many patients decide to leave/qui ...
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DOI
10.12681/eadd/36698
Handle URL
http://hdl.handle.net/10442/hedi/36698
ND
36698
Alternative title
Στατιστικές μέθοδοι αξιολόγησης διαγνωστικών ελέγχων παρουσία λογοκρισίας
Author
Bantis, Leonidas (Father's name: Evangelos)
Date
2013
Degree Grantor
University of the Aegean
Committee members
Τσιμήκας Τζων
Νικολέρης Θεόδωρος
Νάκας Χρήστος
Καραγρηγορίου Αλέξανδρος
Γεωργίου Στέλιος
Κούτρας Μάρκος
Αντζουλάκος Δημήτριος
Discipline
Natural SciencesMathematics
Keywords
ROC curve; ROC surface; Censoring; SPLINES; Generalized linear models; Estimating Equations
Country
Greece
Language
English
Description
173 σ.
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