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- W828318135 abstract "The objective of this paper is to investigate statistical models for road accident data of Great Britain. The paper compared the results of Generalized Linear Model (GLM) and Generalized Estimation Equation (GEE) techniques with Poisson and negative binomial regression. GEE with negative binomial regression was preferred because it can accommodate the over-dispersion and serial correlation in data. It is found that increase in traffic flow and road length will cause more accidents whereas Time variable will have negative influence on number of daily accidents. It was also concluded that Urban A roads had at least 8 times higher risk than Motorways on all days of week." @default.
- W828318135 created "2016-06-24" @default.
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- W828318135 date "2007-01-01" @default.
- W828318135 modified "2023-09-24" @default.
- W828318135 title "Comparison of Generalized Linear Model (GLM) and Generalized Estimation Equation (GEE) for Modelling Road Accidents from National Data Sets: A Case Study of Great Britain" @default.
- W828318135 hasPublicationYear "2007" @default.
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