The paper deals with the application of a categorical data analysis methodology to investigate the socio-demographic correlates of incidence of schizophrenia in the State of Bahrain in the period 1988-1996. For this purpose, the Poisson log-linear model was devised: a concise summary of underlying theory was reviewed. The response variable is the number of new schizophrenic cases while the covariates are calendar year; sex; age and marital status. The maximum likelihood method, with the application of the iterative procedure of the ridge stabilized Neton-Raphson algorithm, was used to estimate model parameters. The model has proven to fit the data very well.
Abul Ata, M. (1999). Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain. The Egyptian Statistical Journal, 43(1), 53-69. doi: 10.21608/esju.1999.314520
MLA
Mohamed Fotouh Abul Ata. "Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain", The Egyptian Statistical Journal, 43, 1, 1999, 53-69. doi: 10.21608/esju.1999.314520
HARVARD
Abul Ata, M. (1999). 'Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain', The Egyptian Statistical Journal, 43(1), pp. 53-69. doi: 10.21608/esju.1999.314520
VANCOUVER
Abul Ata, M. Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain. The Egyptian Statistical Journal, 1999; 43(1): 53-69. doi: 10.21608/esju.1999.314520
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