APPLICATION OF THE MULTIVARIABLE LINEAR REGRESSION ANALYSIS IN HEALTHCARE USING SPSS SOFTWARE
In this article we present theoretical basis for conducting multivariable linear regression analysis for predicting the one dichotomous outcome based on several independent variables using the SPSS software. The article describes the principles of interpretation of the results using practical examples. We also describe advantages and disadvantages of this type of analysis

Ekaterina E. Sharashova 1

Kamila K. Kholmatova 2

Maria A. Gorbatova 2, http://orcid.org/0000-0002-6363-9595

Andrej M. Grjibovski 2-5, http://orcid.org/0000-0002-5464-0498

1 Arctic University of Norway, Tromsø, Norway;

2 Northern State Medical University, Arkhangelsk, Russia;

3 Norwegian Institute of Public Health, Oslo, Norway;

4 International Kazakh-Turkish University, Turkestan, Kazakhstan;

5 North-Eastern Federal University, Yakutsk, Russia.

1.         Grjibovski A.M. Odnofactornyj lineinyj regressionnyj analiz. [Simple linear regression analysis]. Ekologiya cheloveka [Human ecology] 2008, 10, pp. 55-64. [in Russian].

2.        Grjibovski A.M., Ivanov S.V., Gorbatova M.A. Odnofaktornyi lineinyi regressionnyi analiz s ispol'zovaniem programmnogo obespecheniya Statistica i SPSS [Univariate regression analysis using Statistica and SPSS software]. Nauka i Zdravookhranenie [Science & Healthcare]. 2017. 2, рр. 5-33. [in Russian].

3.        Junkerov V.I., Grigoriev S.G. Matematiko-statisticheskaya obrabotka dannykh medtscinskikh issledovanii [Mathematical ans statistical analysis of the medical research data]. SPb: VMedA, 2002. 266 p. [in Russian].

4.         Field A. Discovering statistics using SPSS (2nd ed.). London: Sage Publications Ltd., 2005. 781 p.

5.         Foster J. Understanding and using advanced statistics. Foster J., Barkus M., Yavorsky C. London: SAGE Publications Ltd., 2006. 178 p.

6.         Grjibovski A.M., Bygren L.O., Svartbo P.M. Social variations in fetal growth in Northwest Russia: an analysis of medical records. Annals of Epidemiology. 2003, 9, p.p. 599-605.

7.         Grjibovski A.M., Bygren L.O., Yngve A., Sjostrom M. Social variations in infant growth performance in Severodvinsk, Northwest Russia: community-based cohort study. Croat Med J. 2004, 45(6), p.p. 757-63.

8.         Grjibovski A., Bygren L.O., Svartbo B. Magnus P. Housing conditions, perceived stress, smoking, and alcohol: determinants of fetal growth in Northwest Russia. Acta Obstet Gynecol Scand. 2004, 83(12), p.p. 1159-66.

9.         Grjibovski A., Bygren L.O., Svartbo B. Socio-demographic determinants of poor infant outcome in north-west Russia. Paediatr Perinat Epidemiol. 2002, 16(3), p.p. 255-62.

10.     Little R. J. A. A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association. 1998, 83, p.p. 1198-1202.

11.     Brooks G.P., Barcikowski R.S. The PEAR method for sample sizes in multiple linear regression. Multiple Linear Regression Viewpoints. 2012, 38(2), p.p. 1-16.

12.     Cook R.D., Weisberg S. Residuals and influence in regression. New York – London: Chapman and Hall, 1982. 229 p.

13.     Hoaglin D.C., Welsch R.E. The Hat Matrix in Regression and ANOVA. The American statistician. 1978, 32(1), p.p. 17–22.

14.     Stevens J.P. Applied Multivariate Statistics for the Social Sciences using SAS & SPSS (4th ed.). New York: Psychology Press, 2002. 708 p.

15.     Shapiro S.S., Wilk M.B. An analysis of variance test for normality. Biometrika. 1965, 52(3), p.p. 591-611.

16.     Lilliefors H. On the Kolmogorov–Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association. 1967, 62, p.p. 399–402.

17.     Suits D.B. Use of Dummy Variables in Regression Equations. Journal of the American Statistical Association. 1957, 52(280), p.p. 548–551.

18.     Belsey D.A., Kuh, E., Welsch, R.E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York: John Wiley and Sons. 1980. 300 р.

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Category of articles: Research methodology

Bibliography link

Sharashova E.E., Kholmatova K.K., Gorbatova M.A., Grjibovski A.M. Application of the multivariable linear regression analysis in healthcare using SPSS software. Nauka i Zdravookhranenie [Science & Healthcare]. 2017, 3, pp. 5-31.

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