Volume : IX, Issue : VI, June - 2020

Statistical Analysis of Clinical Studies through SPSS and R

Aijaz Ahmad, Md Shahid Iqbal, N. Ahmad

Abstract :

Field of Medicine is an empirical science because of heavy use of mathematical and computational models. Biostatisticians join the link between Medical science and Mathematics. In modern medicine, to make sense of data collected to decide if the treatment would be suitable or to find variable which are responsible for the disease, we require predictive models and statistical methods. There are varieties of predictive models and statistical methods available in literature. However, Chi–square test, analysis of variance (ANOVA), and regression models are powerful analytic tools, yield valid statistical inferences. This paper explores the uses of Chi–square test, analysis of variance (ANOVA), and regression analysis in clinical studies. We present the computational analysis for real clinical data using statistical package for the social sciences (SPSS) and R programming in simple steps. Further, we discuss the computational and graphical outputs of SPSS and R in details. This work may help medical researchers to identify the appropriate test for the analysis.

Article: Download PDF    DOI : https://www.doi.org/10.36106/paripex  

Cite This Article:

STATISTICAL ANALYSIS OF CLINICAL STUDIES THROUGH SPSS AND R, Aijaz Ahmad, Md Shahid Iqbal, N. Ahmad PARIPEX-INDIAN JOURNAL OF RESEARCH : Volume-9 | Issue-6 | June-2020

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