Search results for "Survival model"
showing 3 items of 3 documents
Bayesian Analysis of Population Health Data
2021
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. To illustrate the potential of Bayesian hierarchical models, a dataset of about 500,000 inhabitants released by the Polish National Health Fund containing information about ischemic stroke incidence for a 2-year period is analyzed using different types of models. Spatial logistic regression and…
Individual and Contextual Determinants of Cruise Passengers’ Behavior at Their Destination: A Survival Approach
2020
The proposed study will present an analysis of cruise passengers’ behavior at their destination. Mobility behavior will be analyzed in relation to socio-demographic characteristics through a survival modeling approach. Data collected through GPS devices on cruise passengers’ behavior in the ports of Palermo and Dubrovnik will be analyzed in order to determine similarities and differences among cruise passengers’ behaviors at their destination, according to socio-demographic characteristics. The authors of this chapter contend that the results of this research, involving the processing and the analysis of GPS data, will be of interest from methodological and destination management perspectiv…
Can stress biomarkers predict preterm birth in women with threatened preterm labor?
2017
Background: Preterm birth is a major paediatric challenge difficult to prevent and with major adverse outcomes. Prenatal stress plays an important role on preterm birth; however, there are few stress-related models to predict preterm birth in women with Threatened Preterm Labor (TPL). Objective: The aim of this work is to study the influence of stress biomarkers on time until birth in TPL women. Methods: Eligible participants were pregnant women between 24 and 31 gestational weeks admitted to the hospital with TPL diagnosis (n = 166). Stress-related biomarkers (a-amylase and cortisol) were determined in saliva samples after TPL diagnosis. Participants were followed-up until labor. A paramet…