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MULTIVARIABLE LOGISTIC REGRESSION USING SPSS SOFTWARE IN HEALTH RESEARCH
In this article we present theoretical basis for conducting multivariable logistic regression analysis for predicting one dichotomous outcome based on several independent variables using the SPSS software. The article describes basic principles and peculiarities of interpretation of the results using practical examples. We also describe advantages and disadvantages of this type of analysis
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2017 year | Issue: 4 | Pages: 5-26
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
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2017 year | Issue: 3 | Pages: 5-31
UNIVARIATE REGRESSION ANALYSIS USING STATISTICA AND SPSS SOFTWARE
In this paper we present basic concepts of simple linear regression analysis using Statistica and SPSS software. Special emphasis is given to interpretation of the outputs provided by software packages. The article provides general knowledge and practical advices regarding the use of simpla logistic regression in biomedical studies, but it does not substitute specialized literature on biostatistics.
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2017 year | Issue: 2 | Pages: 5-33
CORRELATION ANALYSIS OF DATA USING STATISTICA AND SPSS SOFTWARE
In this paper we present the main principles of correlation analysis using parametric and non-parametric methods. Algorithms for calculations of Pearson’s, Spearmen’s and Kendall’s coefficients using Statistica 10 and SPSS 20 software are presented. Special emphasis is given to interpretation of results of statistical analysis. The article complements, but does not substitute specialized literature on biostatistics and clinical epidemiology.
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2017 year | Issue: 1 | Pages: 7-36
ANALYSIS OF NOMINAL AND ORDINAL DATA USING STATISTICA AND SPSS SOFTWARE
This is the sixth paper of a series of articles where we describe basic principles of statistical data analysis using Statistica and SPSS software for beginners. Step-be-step algorithms for Pearson chi-square test and various tests for qualitative data are presented. The main aim of this paper is to provide basic knowledge on qualitative data analysis with practical examples using popular software. The article complements, but does not substitute specialized literature on biostatistics and clinical epidemiology.
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2016 year | Issue: 6 | Pages: 5-39