Toward a Proper Statistical Analysis for Morbidity Data | ||||
| المجلة المصرية للسکان وتنظيم الأسرة | ||||
| Article 3, Volume 33, Issue 2, December 2000, Page 49-56 PDF (5.02 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/mskas.2000.302251 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mohiy El-Din Mohammed Sayed Ahmed* | ||||
| PhD Student at Institute of Statistical studies and Research (ISSR) - Cairo University | ||||
| Abstract | ||||
| This paper shows how to study statistical factors affecting morbidity. The study includes the proper statistical model, estimation of its parameters as well as predication of the new values. In addition, the paper compares regular statistical models’ results with the results obtained from the proper model. Data for Rheumatoid arthritis disease were used to estimate the probability of improvement given some risk factors. | ||||
| Keywords | ||||
| Linear regression; Logistic regression; Morbidity; Rheumatoid arthritis disease | ||||
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