Statistical Analysis of Competing Risks: Overall Survival in a Group of Chronic Myeloid Leukemia Patients

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F11%3A9241" target="_blank" >RIV/00216208:11110/11:9241 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985807:_____/11:00369248

Výsledek na webu

<a href="http://www.ejbi.eu/images/2011-1/Furstova_en.pdf" target="_blank" >http://www.ejbi.eu/images/2011-1/Furstova_en.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Statistical Analysis of Competing Risks: Overall Survival in a Group of Chronic Myeloid Leukemia Patients

Popis výsledku v původním jazyce

Background: Survival analysis is a collection of statistical methods for inference on time-to-event data. If several causes of failure occur and the occurrence of one event precludes the occurrence of the other events, the situation is known as competingrisks. Since the competing risks violate the fundamental assumption of independent censoring, specific methods for inference are needed. Objectives: The aim of this paper is to recall the competing risks model and statistical methods for nonparametric analysis, and to illustrate the competing risks methods on a real data set of 118 Chronic Myeloid Leukemia (CML) patients from the Clinic of Haemato-oncology of the University Hospital in Olomouc. Methods: The overall survival probability and risk factorsof two types of failure (death due to CML and death from other causes) are assessed. Predicted probabilities of the two types of failure with stratification based on the risk factors (Sokal score, haematological response to treatment) ar

Název v anglickém jazyce

Statistical Analysis of Competing Risks: Overall Survival in a Group of Chronic Myeloid Leukemia Patients

Popis výsledku anglicky

Background: Survival analysis is a collection of statistical methods for inference on time-to-event data. If several causes of failure occur and the occurrence of one event precludes the occurrence of the other events, the situation is known as competingrisks. Since the competing risks violate the fundamental assumption of independent censoring, specific methods for inference are needed. Objectives: The aim of this paper is to recall the competing risks model and statistical methods for nonparametric analysis, and to illustrate the competing risks methods on a real data set of 118 Chronic Myeloid Leukemia (CML) patients from the Clinic of Haemato-oncology of the University Hospital in Olomouc. Methods: The overall survival probability and risk factorsof two types of failure (death due to CML and death from other causes) are assessed. Predicted probabilities of the two types of failure with stratification based on the risk factors (Sokal score, haematological response to treatment) ar

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

European Journal for Biomedical Informatics

ISSN

1801-5603

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

2-10

Kód UT WoS článku

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EID výsledku v databázi Scopus

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