TY - JOUR
AU - Mohamed, Chahed
AB - (IJACSA) International Journal of Advanced Computer Science and Applications, Comparative Performance Analysis for Generalized Additive and Generalized Linear Modeling in Epidemiology Methods of Evaluation for Modeling Disease Incidence 1,2,3,4 3,4,5 5,6 7 2 Talmoudi Khouloud , Bellali Hedia , Ben-Alaya Nissaf , Saez Marc , Malouche Dhafer , Chahed Mohamed 3,4,5 Kouni National Engineering School of Tunis, ENIT, Tunis El Manar University, Tunis, Tunisia. Research Unit on Modeling, Statistics and Economic Analysis (MASE, ESSAI), High School of Statistics and Information Analysis (ESSAI), University of Carthage, Tunis, Tunisia. Department of Epidemiology and Statistics, Abderrahman Mami Hospital, Ariana, Tunisia. Research Unit “Analysis of the Effects of Environmental and Climate Change on Health”, Department of Epidemiology and Statistics, Abderrahmen Mami Hospital, Ariana, Tunisia. Department of Epidemiology and Public Health, Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia. National Observatory of New and Emergent Diseases, Tunis, Tunisia. Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain. Abstract—Most environmental-epidemiological researches provided. Since their emergence, both approaches have been emphasize modeling as the causal link of different events (e.g., extensively applied in diverse domain such as environment, hospital admission, death, disease emergency). There has been a signal processing, 
TI - Comparative Performance Analysis for Generalized Additive and Generalized Linear Modeling in Epidemiology
JF - International Journal of Advanced Computer Science and Applications
DO - 10.14569/ijacsa.2017.081255
DA - 2017-01-01
UR - https://www.deepdyve.com/lp/unpaywall/comparative-performance-analysis-for-generalized-additive-and-ThbFG0NfVc
DP - DeepDyve
ER -