(1999). Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain. test, 43(1), 53-69. doi: 10.21608/esju.1999.314520
. "Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain". test, 43, 1, 1999, 53-69. doi: 10.21608/esju.1999.314520
(1999). 'Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain', test, 43(1), pp. 53-69. doi: 10.21608/esju.1999.314520
Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain. test, 1999; 43(1): 53-69. doi: 10.21608/esju.1999.314520

Fitting a Poisson Log-Linear Model to the Incidence of Schizophrenia in the State of Bahrain

The Egyptian Statistical Journal
Article 4, Volume 43, Issue 1, June 1999, Pages 53-69
Document Type: Original Article
DOI: 10.21608/esju.1999.314520
Abstract
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.
Keywords
Categorical Data Analysis; Poisson Log Linear Model; Maximum Likelihood Method; Ridge Stabilized Neton; Raphson Algorithm; Bahrain; Schizophrenia
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