Independence CHI-square test applied to 2xN tables
Vol. 21 No. 2 (2018), Tópicos en investigación clínica y epidemiológica
Vol. 21 No. 2 (2018)

Independence CHI-square test applied to 2xN tables

Tópicos en investigación clínica y epidemiológica
Published 2018-04-02
Fredy Mendivelso
Clínica Reina Sofia, Colsanitas
Milena Rodríguez
Fundación Universitaria Sanitas, Colsanitas
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Keywords

Distribución de Chi-cuadrado
Pruebas de hipótesis
Interpretación estadística de datos
Investigación biomédica Chi-square distribution
Hypothesis-Testing
Data interpretation
Statistical
Biomedical research

How to Cite

Mendivelso, F. ., & Rodríguez, M. (2018). Independence CHI-square test applied to 2xN tables. Revista Médica Sanitas, 21(2), 92-95. Retrieved from //revistas.unisanitas.edu.co/index.php/rms/article/view/342
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Abstract

Pearson chi-square test (X2) is one of the most used statistical techniques in the assessment of data counting or frequencies, mainly in the analysis of contingency tables (r x c) where categorical data are summarized.

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References

McHugh ML. The chi-square test of independence. Biochemia medica. 2013;23(2):143-9. https://doi.org/10.11613/BM.2013.018

Betensky RA, Rabinowitz D. Maximally selected chi2 statistics for k x 2 tables. Biometrics. 1999;55(1):317-20. https://doi.org/10.1111/j.0006-341X.1999.00317.x

Gibbons JD, Chakraborti S. Nonparametric statistical inference. International encyclopedia of statistical science: Springer; 2011. p. 977-9. https://doi.org/10.1007/978-3-642-04898-2_420

Agresti A. Categorical data analysis: John Wiley & Sons; 2003. https://doi.org/10.1002/0471249688

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