Dr. Uchechukwu Marius Okeh

Dr. Uchechukwu Marius Okeh

Senior Lecturer/Biostatistician
Ebonyi State University, Nigeria


Highest Degree
Ph.D. in Biostatistics from Nnamdi Azikiwe University, Nigeria

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Area of Interest:

Statistics
100%
Health Statistics
62%
Mathematics
90%
Demography
75%
Biostatistics
55%

Selected Publications

  1. Okeh, U.M., I.C.A. Oyeka and C.M. Igwenagu, 2016. An alternative approach to cochran Q test for dichotomous data. MOJ Public Health, Vol. 4. .
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  2. Okeh, U.M. and I.C.A. Oyeka, 2016. Estimation of new drug product approval probabilities in phased clinical trials. Global J. Med. Res., 16: 5-16.
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  3. Okeh, U.M. and I.C.A. Oyeka, 2016. Dummy variable multiple regression analysis of matched samples. Biom. Biostatistics Int. J., 3: 77-91.
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  4. Oyeka, I.C.A. and U.M. Okeh, 2015. Simultaneous estimation of adjusted rate of two factors using method of direct standardization. Global J. Sci. Front. Res. F Math. Decis. Sci., 15: 37-42.
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  5. Okeh, U.M. and I.C.A. Oyeka, 2015. Semiparametric estimation of AUC from generalized linear mixed model. Global J. Med. Res., Vol. 15. .
  6. Okeh, U.M. and I.C.A. Oyeka, 2015. One factor analysis of variance and dummy variable regression models. Global J. Sci. Front. Res.: F Math. Decis. Sci., Vol. 15. .
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  7. Oyeka, I.C.A., U.M. Okeh, V.O. Igwebuike, A.A. Onyiaorah and C.C. Efobi, 2014. Estimates of sensitivity, specificity, false rates and expected proportion of population testing positive in screening tests. J. Res. Biol., 4: 1498-1504.
  8. Oyeka, I.C.A., U.M. Okeh and L.N. Ogbonna, 2014. Statistical analysis of maximum (Minimum) scores in 'c' matched samples. Sci. J. Math. Stat., Vol. 2014. .
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  9. Oyeka, I.C.A. and U.M. Okeh, 2014. Two factor analysis of variance and dummy variable multiple regression models. Global J. Sci. Front. Res. F Math. Decis. Sci., 14: 41-56.
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  10. Oyeka, I.C.A. and U.M. Okeh, 2014. ODDS, odds ratio and dummy variable regression. J. Res. Applied Math., 1: 45-59.
  11. Okeh, U.M., 2014. Odds ratio as measure of strength of association in diagnostic screening test. IOSR J. Math., 10: 26-35.
  12. Okeh, U.M. and I.A. Friday, 2014. Predicting the chances of coronary heart disease. Int. J. Sci. Environ. Technol., 3: 1614-1617.
  13. Oyeka, I.C.A., U.M. Okeh, I.V. Onyiaorah, A.A. Onyiaorah and C.C. Efobi, 2013. Estimating false rates-based relative risk as measure of association in diagnostic screening test. Am. J. Biomed. Life Sci., 1: 64-69.
  14. Oyeka, I.C.A., U.M. Okeh and C.N. Okoro, 2013. Statistical methods for the analysis of maximum and minimum scores in repeated measures. Phys. Sci. Res. Int., 1: 104-109.
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  15. Oyeka, I.C.A., I.V. Onyiaorah, A. Onyiaorah, C. Efobi and U.M. Okeh, 2013. Sensitivity and specificity dependent measure of association in diagnostic screening tests. Sci. J. Math. Stat., Vol. 2013. 10.7237/sjms/106.
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  16. Oyeka, I.C.A. and U.M. Okeh, 2013. W statistic: Ties adjusted two sample test. Open Access Sci. Rep., Vol. 2. .
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  17. Oyeka, I.C.A. and U.M. Okeh, 2013. Two sample median tests by ranks. Open Access Sci. Rep., Vol. 2. 10.4172/scientificreports.636.
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  18. Oyeka, I.C.A. and U.M. Okeh, 2013. The nth moment of XcYd. Phys. Sci. Res. Int., 1: 123-132.
  19. Oyeka, I.C.A. and U.M. Okeh, 2013. The logistic regression and ROC analysis of diagnostic tests results for gestational diabetic mellitus. Open Access Sci. Rep., Vol. 2. 10.4172/ scientificreports.654.
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  20. Oyeka, I.C.A. and U.M. Okeh, 2013. Statistical analysis of response from one period cross over design in clinical trial. Open Access Sci. Rep., Vol. 2. .
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  21. Oyeka, I.C.A. and U.M. Okeh, 2013. Moments of continuous Bi-variate distributions: An alternative approach. Sci. J. Applied Math. Stat., 10: 62-69.
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  22. Oyeka, I.C.A. and U.M. Okeh, 2013. Modified intrinsically ties adjusted Mann-Whitney U test. IOSR J. Math., 7: 63-67.
  23. Oyeka, I.C.A. and U.M. Okeh, 2013. Modified extended median test for c matched samples. Comput. Biol. Bioinform., 1: 22-27.
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  24. Oyeka, I.C.A. and U.M. Okeh, 2013. Generalized method for rank determination in rank-ordered statistics. IOSR J. Math., 7: 63-67.
  25. Oyeka, I.C.A. and U.M. Okeh, 2013. Estimating odds ratios in logistic regression of dichotomous data. Open Access Sci. Rep., Vol. 2. .
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  26. Oyeka, I.C.A. and U.M. Okeh, 2013. Estimate of subject specific index of relative performance in K samples. Am. J. Theor. Applied Stat., 2: 154-165.
  27. Oyeka, I.C.A. and U.M. Okeh, 2013. Coefficient of concordance in diagnostic screening tests. J. Mod. Math. Stat., 7: 8-13.
  28. Onyiaorah, I.V., I.C.A. Oyeka, C.C. Efobi, A.A. Onyiaorah and U.M. Okeh, 2013. New drug approval probability model in phased clinical trials. Am. J. Health Res., 1: 81-85.
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  29. Okeh, U.M. and L.N. Ogbonna, 2013. Statistical evaluation of indicators of diagnostic test performance. Am. J. Biosci., 1: 63-73.
  30. Okeh, U.M. and I.C.A. Oyeka, 2013. Estimating the fisher`s scoring matrix formula from logistic model. Am. J. Theor. Applied Stat., 2: 221-227.
  31. Oyeka, I.C.A. and U.M. Okeh, 2012. A nonparametric method for testing H0: ?2 = (α∕β)?1 + ∂. J. Biom. Biostatistics, 10.4172/2155-6180.S7-021.
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  32. Okeh, U.M., I.E. Ogah, U.S. Okeh and A. Agwu, 2012. The use of receiver operating characteristic (Roc) analysis in the evaluation of the performance of two binary diagnostic tests of gestational diabetes mellitus. Int. J. Asian Soc. Sci., 2: 34-43.
  33. Okeh, U.M., 2012. Model determination of the social-demographic risk factors affecting the occurrence of second primary cancer. Open Access Sci. Rep., Vol. 1. 10.4172/scientificreports.178.
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  34. Okeh, U.M. and C.N. Okoro, 2012. Evaluating measures of indicators of diagnostic test performance: Fundamental meanings and formulars. J. Biom. Biostatistics, Vol. 3. 10.4172/2155-6180.1000132.
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  35. Okeh, U.M. and U.S. Okeh, 2011. Statistical comparison of gestational diabetic women in two stages of their pregnancy with non-gestational diabetic ones. Prime Res. Med., 1: 43-47.
  36. Okeh, U.M., 2010. Breastfeeding and the mother-child relationship: A case study of Ebonyi state university teaching hospital, Abakaliki: Case study. Afr. J. Primary Health Care Family Med., 2: 1-3.
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  37. Okeh, U.M. and A.C. Ugwu, 2010. Maternal and child health services in Nigeria: Factors affecting choice. Afr. J. Midwifery Women's Health, 4: 88-90.
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  38. Okeh, U.M., 2009. Statistical problems in medical research. East Afr. J. Public Health, 6: 1-7.
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  39. Okeh, U.M., 2009. Statistical measure of association between smoking and lung cancer in Abakaliki, Ebonyi State Nigeria. East Afr. J. Public Health, 6: 23-29.
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  40. Okeh, U.M., 2009. Statistical analysis of the maternal death rate at the Ebonyi state university teaching hospital, Abakaliki, for the year ending 31 December 2007: Original research. Afr. J. Primary Health Care Family Med., 1: 1-3.
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  41. Okeh, U.M., 2009. Statistical analysis of the application of Wilcoxon and Mann-Whitney U test in medical research studies. Biotechnol. Mol. Biol. Rev., 4: 128-131.
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  42. Okeh, U.M., 2009. Dressing code and sexual characteristics of younger population in southeastern Nigeria. Res. J. Math. Stat., 1: 14-18.
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  43. Okeh, U.M. and A.C. Ugwu, 2009. Randomized controlled trials: The most powerful tool in modern clinical research. East Afr. J. Public Health, 6: 8-10.
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  44. Okeh, U.M. and A.C. Ugwu, 2009. Bayes Theorem: A paragdim research tool in medical sciences. East Afr. J. Public Health, 6: 11-19.
  45. Okeh, U.M., 2008. Statistical problems in medical research. Afr. J. Biotechnol., 7: 4819-4826.
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  46. Okeh, U.M. and A.C. Ugwu, 2008. Basic assumptions in statistical analysis of data in medical sciences. Int. J. Biol. Chem. Sci., 2: 373-388.
  47. Okeh, U.M. and A.C. Ugwu, 2008. A review of the statistical techniques in medical sciences. Bio-Research, 6: 311-316.
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