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.

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10103 Statistics and probability
• Country of publisher: Ireland
• Confidentiality degree: is not subject to a state or trade secret
• 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

Abstract

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.

Abstract (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.

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