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, Page 53-69 PDF (9.27 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.1999.314520 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mohamed Fotouh Abul Ata* | ||||
| Central Statistics Organization, The State of Bahrain | ||||
| 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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