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Assessment of Diabetic Patients Among Adults in Maiduguri, Using Multivariate Discriminant Model

Author

Listed:
  • Umar Yusuf Madaki
  • Singh VV

    (Department of Mathematics and Statistics,Yobe State University, Nigeria.)

  • Musa Dalah Chiwa

    (Department of Mathematics Yusuf Maitama Sule University, Kano, Nigeria)

Abstract

This paper assesses the study that has carried out based on the broad objective of using the multivariate discriminant model for tackling diabetic patients among adults in Maiduguri, Borno state Nigeria. In this research work, data collected from the University of Maiduguri teaching hospital for ten (10) consecutive years from (2002-2011) of 987 patients. The data analyses were done using Fisher’s method and Omnibus Chi-Square test. The Diabetic patient’s responses categorized into two groups which include: Healthy (“0†) and Diabetic (“1†). Various variables (predictors), i.e., Age, Sex, Weight, Blood sugar and Urine sugar are used based on discriminant analysis. Using Fisher’s method of discriminant analysis, classification table that we got by selecting that option in the results obtained. The Overall % correctly classified = 88.2% for the male counterparts and 89.4% for the female counterparts.

Suggested Citation

  • Umar Yusuf Madaki & Singh VV & Musa Dalah Chiwa, 2019. "Assessment of Diabetic Patients Among Adults in Maiduguri, Using Multivariate Discriminant Model," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(1), pages 20-27, February.
    • Handle: RePEc:adp:jbboaj:v:9:y:2019:i:1:p:20-27
    DOI: 10.19080/BBOAJ.2019.09.555754
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    References listed on IDEAS

    as
    1. Badamasi Abba & Singh VV, 2018. "New Odd Generalized Exponential - Exponential Distribution: Its Properties and Application," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(3), pages 68-73, April.
    2. Chiwa Musa Dalah & SinghV V, 2018. "A Study Towards Awareness and Corrective Measures of HIV/AIDS in North-Western Part of Nigeria Through Statistical Assessment," Global Journal of Reproductive Medicine, Juniper Publishers Inc., vol. 5(3), pages 51-58, July.
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