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| 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 in the context with risk of mortality on the other hand. Colorectal data comes from patients who underwent colectomy in the University Hospital of Ostrava. Two basic surgery operating techniques are used for the colectomy: either classical (open) or minimally invasive (laparoscopic). Basic question which arises at the colectomy operation is which type of operation to choose to guarantee longer overall survival time. Two non-parametric approaches have been used to quantify risk of mortality with uncertainties. In fact, supplement of the risk to one, i.e. survival function with corresponding confidence levels is calculated and evaluated. First approach considers standard nonparametric estimators resulting from both the Kaplan-Meier estimator of survival function in connection with Greenwood’s formula and the Nelson-Aalen estimator of cumulative hazard function including confidence interval for survival function as well. The second innovative approach, represented by Nonparametric Predictive Inference (NPI), uses lower and upper probabilities for quantifying uncertainty and provides a model of predictive survival function instead of the population survival function. The traditional log-rank test on one hand and the nonparametric predictive comparison of two groups of lifetime data on the other hand have been confronted to evaluate risk of mortality in context with mentioned surgery techniques. The size of the difference between two groups of lifetime data has been considered and analyzed as well.
- Medical survival right-censored data of about 850 patients are evaluated to analyze their uncertainty on one hand and compare two basic surgery techniques in the context with risk of mortality on the other hand. Colorectal data comes from patients who underwent colectomy in the University Hospital of Ostrava. Two basic surgery operating techniques are used for the colectomy: either classical (open) or minimally invasive (laparoscopic). Basic question which arises at the colectomy operation is which type of operation to choose to guarantee longer overall survival time. Two non-parametric approaches have been used to quantify risk of mortality with uncertainties. In fact, supplement of the risk to one, i.e. survival function with corresponding confidence levels is calculated and evaluated. First approach considers standard nonparametric estimators resulting from both the Kaplan-Meier estimator of survival function in connection with Greenwood’s formula and the Nelson-Aalen estimator of cumulative hazard function including confidence interval for survival function as well. The second innovative approach, represented by Nonparametric Predictive Inference (NPI), uses lower and upper probabilities for quantifying uncertainty and provides a model of predictive survival function instead of the population survival function. The traditional log-rank test on one hand and the nonparametric predictive comparison of two groups of lifetime data on the other hand have been confronted to evaluate risk of mortality in context with mentioned surgery techniques. The size of the difference between two groups of lifetime data has been considered and analyzed as well. (en)
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| Title
| - A Nonparametric Approach to Medical Survival Data: Uncertainty in the Context of Risk in Mortality Analysis
- A Nonparametric Approach to Medical Survival Data: Uncertainty in the Context of Risk in Mortality Analysis (en)
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| skos:prefLabel
| - A Nonparametric Approach to Medical Survival Data: Uncertainty in the Context of Risk in Mortality Analysis
- A Nonparametric Approach to Medical Survival Data: Uncertainty in the Context of Risk in Mortality Analysis (en)
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| skos:notation
| - RIV/61989100:27740/14:86089069!RIV15-MSM-27740___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27740/14:86089069
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Survival Analysis, Uncertainty, Medical Data, Kaplan-Meier Estimator, Nelson-Aalen Estimator, Nonparametric Predictive Inference (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
| - GB - Spojené království Velké Británie a Severního Irska
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
| - Reliability engineering and system safety
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Briš, Radim
- Janurová, Kateřina
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| http://linked.open...ain/vavai/riv/wos
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| issn
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| number of pages
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| http://bibframe.org/vocab/doi
| - 10.1016/j.ress.2013.03.014
|
| http://localhost/t...ganizacniJednotka
| |
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