2016
DOI: 10.1063/1.4968446
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Prediction of early postoperative infections in pediatric liver transplantation by logistic regression

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Cited by 4 publications
(2 citation statements)
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“…In this section we compare the performance of the four models described in Sections 2.2-2.5 to the prediction of mortality in early postoperative periods after pediatric liver transplantation (LT). The use of the logistic model for this purpose has been considered in [9,8,6]. The Model for Early Allograft Function (MEAF) is the first statistically confirmed score for diagnosis of Early Allograft Dysfunction (EAD).…”
Section: Prediction Of Mortalitymentioning
confidence: 99%
“…In this section we compare the performance of the four models described in Sections 2.2-2.5 to the prediction of mortality in early postoperative periods after pediatric liver transplantation (LT). The use of the logistic model for this purpose has been considered in [9,8,6]. The Model for Early Allograft Function (MEAF) is the first statistically confirmed score for diagnosis of Early Allograft Dysfunction (EAD).…”
Section: Prediction Of Mortalitymentioning
confidence: 99%
“…Applied by us logistic model, except that identify significant factors gives the possibility to calculate the probability that a certain amount of factors are expected to occur complication. Precisely because of the possibility to predict the probability of complication logistics model is applied in a variety of context, including cohort and case-control studies, problems in differential diagnosis and prediction and in the analysis of survey data [8][9][10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%