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IJSTR >> Volume 3- Issue 2, February 2014 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Discriminating Between Response Scores In A Diagnostic Test: A Dummy Variable Regression Approach

[Full Text]

 

AUTHOR(S)

Oyeka I.C.A, Awopeju K.A, Efobi C.C., Onyiaorah A.A.

 

KEYWORDS

Keyword: Dummy Variable, Multiple Regression, Classification, Discrimination, Probability Density Function, Parameter, Estimate.

 

ABSTRACT

Abstract: This paper proposes a statistical method for the analysis of diagnostic screening test results reported as quantitative scores, using dummy variable multiple regression techniques. The proposed method develops estimates of the expected test scores for subjects whose tests scores are critically below the minimum normal score; those subjects whose test scores are critically above the maximum normal score; those subjects whose test scores are either marginally below the minimum normal score or marginally above the maximum normal score; and for those subjects whose test results or scores are normal. Test statistics are also developed for testing the existence of any significant difference between the expected scores by these various groups of subjects. The proposed method which may enable health practitioners in statistically discriminating screened subjects, for specific health management programs, by identified risk groups relative to the normal group, is illustrated with some data.

 

REFERENCES

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[3]. Draper, N.R.; Smith, H. (1998) Applied Regression Analysis, Wiley. ISBN 0-471-17082-8 (Chapter 14)

[4]. Neter J., Wasserman W. and Kurtner M.H. 1983. “Applied Linear Regression Models”. Richard D. Irwin Inc. pp 329-330

[5]. Oyeka I.C.A. 1993. “Estimating Effects in Ordinal Dummy Variable Regression”. STATISTICA, anna LIII, n.2, pp 262-268.

[6]. Suits, Daniel B. (1957). "Use of Dummy Variables in Regression Equations". Journal of the American Statistical Association 52 (280): 548–551. JSTOR 2281705.