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314520

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

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Last updated: 05 Jan 2025

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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.

DOI

10.21608/esju.1999.314520

Keywords

Categorical Data Analysis, Poisson Log Linear Model, Maximum Likelihood Method, Ridge Stabilized Neton, Raphson Algorithm, Bahrain, Schizophrenia

Volume

43

Article Issue

1

Related Issue

43139

Issue Date

1999-06-01

Publish Date

1999-06-01

Page Start

53

Page End

69

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_314520.html

Detail API

https://esju.journals.ekb.eg/service?article_code=314520

Order

4

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

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

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Article

Created At

28 Dec 2024