influenced and/or indicated by different factors that are termed as covariates. Hazard prediction with covariates is an elemental … time assumed that it has already survived up to the current time. A number of statistical covariate-based hazard models …. This paper introduces a novel covariate-based hazard model to address this concern. This model is named as Explicit Hazard …

different risk factors, which are called covariates. The fundamental notion in reliability theory is the failure time of a …. Research shows that many statistical models have been developed to estimate the hazard of assets or individuals with covariates …. An extensive amount of literature on hazard models with covariates (also termed covariate models), including theory and …

information communication technology (ICT) tools including geographic information systems (GIS) that provide the mechanisms to … that has been adopted to develop an online GIS-based DSS for health planners. The literature states that the overall aim of … minimizing judgmental biases. For this reason, the paper examines the effectiveness and impact of an innovative online GIS …

relative performance in terms of these different indices and identify the nature of transport disadvantage. GIS was used to …

.Geographic Information System (GIS) techniques were used extensively to both prepare the model input and examine the model output. An …

, this study develops a GIS-based CA framework based on the desakota model to not only simulate the unique urbanization …

care providers to identify where intervention programs are needed. Geographic Information Systems (GIS) is a mapping tool … disease incidence, risk factors and provider availability. Purpose: The purpose of this study is to geocode data for use in … GIS in order to identify where in Ohio DM intervention programs would be most effective. Sample: All Ohio counties (n=88 …