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To test the association between the biomarker and the clinical parameters, Fisher's exact test was performed for categorical parameters, and a logistic regression model was used for continuous parameters.
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These networks can be used for continuous monitoring of vital parameters, movement, and the surrounding environment.
Nowadays, these networks are routinely used for continuous monitoring of vital parameters, movement, and the surrounding environment of people, but the large volume of data generated in different locations represents a major obstacle for the appropriate design, development, and deployment of more elaborated intelligent systems.
For both 18-month and longitudinal outcomes, linear mixed models will be used for continuous outcomes such as growth parameters, whereas generalized linear mixed models will be used for discrete outcomes such as frequency of various nutritional intakes and incidence of morbidities.
For the clinical parameters, t-tests will be used for continuous values or the Mann-Whitney U-test when the variables are not normally distributed.
For the clinical parameters, t-tests will be used for continuous variables or the Mann–Whitney U-test when the variables are not normally distributed.
To test the association between ALDC /HIF1α protein using immunohistochemistry (IHC) (positive and negative) and the clinical parameters, Fisher's exact test was performed for categorical parameters and the logistic regression model was used for continuous ones.
To test the association between ALDC/HIF1α IHC (positive and negative) and the clinical parameters, Fisher's exact test was performed for categorical parameters and the logistic regression model was used for continuous ones.
T-tests were used for continuous variables.
ANOVA was used for continuous variables.
Linear regression was used for continuous outcomes.
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