Application of Discriminant Analysis on Broncho-Pulmonary Dysplasia among Infants: A Case Study of UMTH and UDUS Hospitals in Maidguri, Nigeria
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 2-1, March 2015, Pages: 44-51
Received: Mar. 10, 2015; Accepted: Mar. 10, 2015; Published: Mar. 21, 2015
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Authors
Vishwa Nath Maurya, Department of Mathematics and Statistics, School of Science & Technology, The University of Fiji, Lautoka, Fiji Islands
Madaki Umar Yusuf, Department of Mathematics and Statistics, Yobe State University, P.M.B 1144, Damaturu, Yobe State, Nigeria
Vijay Vir Singh, Department of Mathematics and Statistics, Yobe State University, P.M.B 1144, Damaturu, Yobe State, Nigeria
Babagana Modu, Department of Mathematics and Statistics, Yobe State University, P.M.B 1144, Damaturu, Yobe State, Nigeria
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Abstract
Present research paper envisages investigation of the incidence and prevalence of Broncho-Pulmonary Dysplasia among infants in UMTH and UDUS Hospitals in Maidguri, Nigeria. The data used in this research paper were obtained from the University of Maiduguri Teaching Hospital (UMTH), Maiduguri and Usmanu Danfodiyo University Teaching Hospital Sokoto with sample size of Seventy (70) patients in 2014; Fifty (50) patients from Maiduguri and Twenty (20) from Sokoto respectively. Discriminant analysis model was employed for the analysis with the help of SPSS. The result of the analysis indicates that discriminant model has a perfect classification of new cases in Maiduguri while it has misclassified one of five new cases in Sokoto. This result suggests that the prediction of Broncho–Pulmonary Dysplasia (BPD) is better done with discriminant model in Maiduguri. The study recommends that Doctors and Clinics should adopt the use of the models built by this research to detect the prevalence of BPD among infants.
Keywords
Linear Discriminant Analysis Model, Broncho-Pulmonary Dysplasia (BPD), Infants, Logistic Regression, Dichotomous Factor, Wilks’ Lambda test, Omnibus Chi-Square Test
To cite this article
Vishwa Nath Maurya, Madaki Umar Yusuf, Vijay Vir Singh, Babagana Modu, Application of Discriminant Analysis on Broncho-Pulmonary Dysplasia among Infants: A Case Study of UMTH and UDUS Hospitals in Maidguri, Nigeria, American Journal of Theoretical and Applied Statistics. Special Issue: Scope of Statistical Modeling and Optimization Techniques in Management Decision Making Process. Vol. 4, No. 2-1, 2015, pp. 44-51. doi: 10.11648/j.ajtas.s.2015040201.16
References
[1]
Boulé N.G., Haddad E., Kenny G.P., Wells G.A. and Sigal R.J., Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: a meta-analysis of controlled clinical trials. The Journal of the American Medical Association, Vol. 286(10), pp.1218-1227, 2001
[2]
Brunnella Alcantara Chagas de freitasi,II; Mirene pelosoi; Guilherme Lobo da silveiraiii; Giana Zarbato Longo, Journal of Clinical research, Prevalence and factors associated with bronchopulmonary dysplasia in a referral hospital in Minas Gerais, Brazil, 2012
[3]
Carlos A., Bhering Christieny C., Mochdece M., Moreira E.L., José R. Rocco, Guilherme M. Sant'Anna, Bronchopulmonary dysplasia prediction model for 7-day-old infants Journal of Pediatria. (Rio J.), Vol. 83(2), Porto Alegre, March/April 2007
[4]
Croux C. and Dehon C., Influence of observations on the misclassification probability in quadratic discriminant analysis. Journal of Multivariate Analysis, Vol. 96, pp. 384-403, 2005
[5]
Danan C., Gelatinase activities in the airways of premature infants and development of bronchopulmonary dysplasia. American Journal of Physiol. Lung Cell Mol Physiol., Vol. 283: L1086- L1093, 2002
[6]
Fisher R.A., The statistical utilization of multiple measurements. Annals of Eugenics, Vol. 8, pp.376–386, 1938
[7]
Jobe H. and Bancalari E., Bronchopulmonary dysplasia, American Journal of Respiratory and Critical Care Medicine, Vol. 163(7), pp. 1723–1729, 2001
[8]
Maurya V.N., Arora D.K. and Maurya A.K., Elements of Advanced Probability Theory and Statistical Techniques, Scholar’s Press Publishing Co., Saarbrucken, Germany, 2014, ISBN 978-3-639-51849-8
[9]
Maurya V.N., Arora Diwinder Kaur, Maurya Avadhesh Kumar and Gautam R.A., Exact modeling of annual maximum rainfall with Gumbel and Frechet distributions using parameter estimation techniques, World of Sciences Journal, Engineers Press Publishing, Vienna, Austria, Vol. 1(2), pp.11-26, 2013, ISSN: 2307-3071
[10]
Maurya V.N., Maurya A.K. and Kaur D., A survey report on nonparametric hypothesis testing including Kruskal-Wallis ANOVA and Kolmogorov–Smirnov goodness-fit-test, International Journal of Information Technology & Operations Management, Academic and Scientific Publishing, New York, USA, Vol.1(2), pp. 29-40, 2013, ISSN: 2328-8531
[11]
Maurya V.N., Numerical simulation for nutrients propagation and microbial growth using finite difference approximation technique, International Journal of Mathematical Modeling and Applied Computing, Academic & Scientific Publishing, New York, USA, Vol. 1(7), pp. 64-76, November 2013, ISSN: 2332-3744
[12]
Maurya V.N., Singh V.V. and Yusuf Madaki Umar, Statistical analysis on the rate of kidney (renal) failure, American Journal of Applied Mathematics and Statistics, Special Issue: Application and Future Scope of Fundamental Mathematical and Computational Sciences in Engineering & Technology, Science & Education Publishing, USA, Vol. 2, No. 6A, pp. 6-12, 2014
[13]
Rencher Alvin C., Methods of multivariate analysis / Alvin C. Rencher.—2nd ed. Page: 270-272, 2002, The Canadian Journal of Statistics, Vol.29, pp.473–492, 2001.
[14]
Singh R.K., Multivariate Statistical Analysis. IAENG International Journal of Applied Mathematics, Vol. 39(1), pp.1-06, 2011
[15]
Tapia J.L., Agost D., Alegria A. et al., Bronchopulmonary dysplasia: incidence, risk factors and resource utilization in a population of South American very low birth weight infants, Journal de Pediatria, Vol. 82(1), pp. 15–20, 2006
[16]
Umejiaku C.A, Discriminant analysis of protein-energy malnutrition in children. Journal of Science, Vol.12-16, pp. 27-34, 2006.
[17]
Usman A. Statistical methods for biometric and medical research, Millennium Printing ad Publishing Company Limited, Kaduna, Nigeria: 486-495.
[18]
Vimal Kumar, Moses A. and Padmanaban, Prevalence and risk factors of nephropathy in type 2 Diabetic patients, Journal of Collaborative Research on Internal Medicine and Public Health, 2011.
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