Predicting the Risk of Mortality in Children using a Fuzzy-Probabilistic Hybrid Model

Table 4

values obtained for the likelihood ratio between nested models.

	Oviedo	Riga	Total
Subjective information
MID vs. NULL	<0.001	<0.001	<0.001
SPRR vs. NULL	0.671	0.106	0.139
MID+SPRR vs. NULL	<0.001	<0.001	<0.001
MID+SPRR vs. MID	0.658	0.077	0.192
Objective information
PIM2 vs. NULL	<0.001	<0.001	<0.001
TISS28 vs. NULL	<0.001	0.080	<0.001
PIM2+TISS28 vs. NULL	<0.001	0.001	<0.001
PIM2+TISS28 vs. PIM2	0.353	0.663	0.390
PIM2+TISS28 vs. TISS28	<0.001	0.001	<0.001
Combined information
MID+PIM2 vs. NULL	<0.001	<0.001	<0.001
MID+PIM2 vs. MID	<0.001	0.173	<0.001
MID+PIM2 vs. PIM2	<0.001	<0.001	<0.001

NULL: the null hypothesis. MID: logistic model using MID as explanatory variable. SPRR: logistic model using SPRR as explanatory variable. PIM2: logistic model using PIM2 as explanatory variable. TISS28: logistic model using TISS28 as explanatory variable. MID+SPRR: logistic model using MID and SPRR as explanatory variables. PIM2+TISS28: logistic model using PIM2 and TISS28 as explanatory variables. MID+PIM2: logistic model using MID and PIM2 as explanatory variables.