Prediction of risk of sepsis based on deviance in MGLM

HRDLIČKOVÁ, Zuzana. Prediction of risk of sepsis based on deviance in MGLM. In IWSM 2006, Proceedings of the 21st International Workshop on Statistical Modelling. Galway, Ireland: Corrib and Data Printers Ltd., 2006, p. 242-245. ISBN 1-86220-180-3.

Basic information

Original name

Prediction of risk of sepsis based on deviance in MGLM

Name in Czech

Predikce rizika sepse založená na devianci v MGLM

Authors

HRDLIČKOVÁ, Zuzana (203 Czech Republic, guarantor)

Edition

Galway, Ireland, IWSM 2006, Proceedings of the 21st International Workshop on Statistical Modelling, p. 242-245, 4 pp. 2006

Publisher

Corrib and Data Printers Ltd.

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10103 Statistics and probability

Country of publisher

Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14310/06:00015761

Organization unit

Faculty of Science

ISBN

1-86220-180-3

Keywords in English

Multivariate generalized linear model; deviance; power; genetic prediction

Tags

deviance, genetic prediction, Multivariate generalized linear model, power

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Abstract

V originále

When analysing the risk of sepsis the multivariate generalized linear model (MGLM) can be employed. The paper describes an application of analysis of deviance to testing the influence of two studied polymorphism of genes. Power of the test based on deviance and its asymptotic approximation is also considered.

In Czech

Analýzu rizika sepse je možné založit na mnohorozměrném zobecněném lineárním modelu. V článku je užita analýzy deviance pro test vlivu dvou studovaných polymorfismů genů. Mimo jiné je též studována síla testu založeného na devianci a její asymptotická aproximace.

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Links

GD201/05/H007, research and development project	Name: Statistické dynamické modely a jejich aplikace v ekonomických, přírodovědných a technických oborech Investor: Czech Science Foundation, Statistical dynamical models and their applications in economics, technicques and natural sciences
GP301/03/D196, research and development project	Name: Genetická predikce rizika septického stavu u dětských pacientů Investor: Czech Science Foundation, Genetic risk prediction to sepsis in children
MSM0021622418, plan (intention)	Name: DYNAMICKÁ GEOVIZUALIZACE V KRIZOVÉM MANAGEMENTU Investor: Ministry of Education, Youth and Sports of the CR, Dynamic Geovisualisation in Crises Management