Comparative Performance Analysis for Generalized Additive and Generalized Linear Modeling in Epidemiology
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
Most environmental-epidemiological researches emphasize modeling as the causal link of different events (e.g., hospital admission, death, disease emergency). There has been a particular concern in the use of the Generalized Linear Models (GLMs) in the field of epidemiology. However, recent studies in this field highlighted the use of non-parametric techniques, especially the Generalized Additive Models (GAMs). The aim of this work is to compare performance of both methods in the field of epidemiology. Comparison is done in terms of sharpening the relation between the predictors and the response variable as well as in predicting outbreaks. The most suitable method is then adopted to elucidate the impact of bioclimatic factors on the emergence of the zoonotic cutaneous leishmaniasis (ZCL) disease in Central Tunisia. Monthly epidemiologic and bioclimatic data from July 2009 to June 2016 are used in this study. Akaike information criterion, R-squared and F-statistic are used to compare model performance, while the root mean square error is used for checking predictive accuracy for both models. Our results show the potential of GAM model to provide a better assessment of the nonlinear relations and to give a high predictive accuracy compared to GLMs. The results also stress the inaccurate estimation of risk factors when linear trends are used to model nonlinear structured data.
Authors and Affiliations
Talmoudi Khouloud, Bellali Hedia, Ben-Alaya Nissaf, Saez Marc, Malouche Dhafer, Chahed Mohamed Kouni
Keywords
Related Articles
- EP ID EP259583
- DOI 10.14569/IJACSA.2017.081255
- Views 118
- Downloads 0
scaleBF: A High Scalable Membership Filter using 3D Bloom Filter
Bloom Filter is extensively deployed data structure in various applications and research domain since its inception. Bloom Filter is able to reduce the space consumption in an order of magnitude. Thus, Bloom Filter is us...
A Novel Edge Cover based Graph Coloring Algorithm
Graph Colouring Problem is a well-known NP-Hard problem. In Graph Colouring Problem (GCP) all vertices of any graph must be coloured in such a way that no two adjacent vertices are coloured with the same colour. In this...
En-Route Vehicular Traffic Optimization
The pathways of information are changing, the physical world itself is becoming a type of information system. In what’s called the Internet of Things (IoT), sensors and actuators embedded in physical objects—from roadway...
Boosted Constrained K-Means Algorithm for Social Networks Circles Analysis
The volume of information generated by a huge number of social networks users is increasing every day. Social networks analysis has gained intensive attention in the data mining research community to identify circles of...
Design of a Microstrip Patch Antenna with High Bandwidth and High Gain for UWB and Different Wireless Applications
We propose square shape patch antenna in this research work. Focus of the work is to obtain large bandwidth with compact ground plane for wireless applications. The proposed antenna is designed using dielectric material...