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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F12%3A86084843%21RIV13-MSM-27740___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
Medical survival right-censored data of about 850 patients are evaluated to analyze their uncertainty on one hand and compare two basic surgery techniques on the other hand. Colorectal data comes from patients who underwent colectomy in the University Hospital of Ostrava. Two basic surgery techniques are used for the colectomy: either classical (open) or laparoscopic operation. Basic question which arises at the colectomy operation is which type of operation to choose to guarantee longer overall survival time. Two nonparametric methods have been used and compared to answer both problems. First is the nonparametric method which results from Kaplan-Meier estimator of survival function. Uncertainty analysis of the estimator is based on Greenwood's formula. Second is nonparametric predictive inference (NPI). This is relatively new method which uses lower and upper probabilities for quantifying uncertainty. It provides an estimation of predictive survival function instead of the population survival function. Medical survival right-censored data of about 850 patients are evaluated to analyze their uncertainty on one hand and compare two basic surgery techniques on the other hand. Colorectal data comes from patients who underwent colectomy in the University Hospital of Ostrava. Two basic surgery techniques are used for the colectomy: either classical (open) or laparoscopic operation. Basic question which arises at the colectomy operation is which type of operation to choose to guarantee longer overall survival time. Two nonparametric methods have been used and compared to answer both problems. First is the nonparametric method which results from Kaplan-Meier estimator of survival function. Uncertainty analysis of the estimator is based on Greenwood's formula. Second is nonparametric predictive inference (NPI). This is relatively new method which uses lower and upper probabilities for quantifying uncertainty. It provides an estimation of predictive survival function instead of the population survival function.
dcterms:title
Nonparametric approach applied on medical survival data: Uncertainty analysis and comparison of two operative techniques Nonparametric approach applied on medical survival data: Uncertainty analysis and comparison of two operative techniques
skos:prefLabel
Nonparametric approach applied on medical survival data: Uncertainty analysis and comparison of two operative techniques Nonparametric approach applied on medical survival data: Uncertainty analysis and comparison of two operative techniques
skos:notation
RIV/61989100:27740/12:86084843!RIV13-MSM-27740___
n9:predkladatel
n13:orjk%3A27740
n3:aktivita
n7:P
n3:aktivity
P(ED1.1.00/02.0070)
n3:dodaniDat
n18:2013
n3:domaciTvurceVysledku
n19:8075077 n19:6396038
n3:druhVysledku
n21:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
154417
n3:idVysledku
RIV/61989100:27740/12:86084843
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Uncertainty; Survival analysis; Nonparametric predictive inference; Medical data; Kaplan-meier estimator
n3:klicoveSlovo
n12:Medical%20data n12:Uncertainty n12:Survival%20analysis n12:Kaplan-meier%20estimator n12:Nonparametric%20predictive%20inference
n3:kontrolniKodProRIV
[475981207F15]
n3:mistoKonaniAkce
Helsinky
n3:mistoVydani
Down
n3:nazevZdroje
11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012
n3:obor
n4:BB
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n16:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n18:2012
n3:tvurceVysledku
Briš, Radim Janurová, Kateřina
n3:typAkce
n15:WRD
n3:zahajeniAkce
2012-06-25+02:00
s:numberOfPages
8
n17:hasPublisher
Curran Associates
n22:isbn
978-1-62276-436-5
n8:organizacniJednotka
27740