The field of modelling, multilevel data is a new approach. This research study examines the emerging role of modelling multilevel data in the context of analysing the factors associated with number of deaths due to road ...

The completion rates of study programmes by students under the open and distance learning (ODL) mode is important to analyze as the low completion rates or dropouts in ODL mode is an area which has taken much attention ...

This study aims to determine whether drinking, cooking, handwashing water, Sanitation and Hygiene (WaSH) are associated with each of the three nutrition measures stunting, wasting and underweight jointly after adjusting ...

The primary objective of this research is to examine the effect of economic, social and environmental indicators on life expectancy, using a cross-sectional comprehensive worldwide sample. The data corresponds to countries ...

Members of the multiple antibiotic resistance regulator (MarR) family control gene expression in a variety of metabolic processes in bacteria and archaea. Hypothetical uricase regulator (HucR), which belongs to the ...

modeling approaches are often encountered for different outcomes of competing risk time to event and count in many biomedical and epidemiology studies in the presence of cluster effect. Hospital length of stay (LOS) has ...

Besides climate change impacts on water availability and hydrological risks, the consequences on water quality is just beginning to be studied. This research concerns the impacts of climate change on surface water quality ...

Multilevel data structures are known as consisting of multiple units of analysis, one clustered within the other. The concept of multilevel data modelling has been developed for several years mainly because the researchers ...

This paper focuses on exploring methods for analyzing length of stay in hospital and the discharge endpoint for dengue patients reported from high risk areas of Sri Lanka during the period of 2006-2008. Due to the length ...

This paper focuses on exploring methods and analyzing the survival pattern of clustered dengue data reported from high risk areas in Sri Lanka during the period 2006 to 2009. Due to dengue cases being clustered within ...