Abstract
Choosing the best method for comparing variables is a crucial step in any research project and the understanding of the advantages and disadvantages of each test of measures of association allows the investigator take an optimal decision. The choice of test depends on the number of groups in the analysis, the number of subjects in each group, the nature of the variable, and the type of dispersion. The type of distribution will be a key point in determining whether a parametric test or a nonparametric test would be more appropriate. In this chapter we will discuss the characteristics of the tests of measures of association commonly performed in clinical cancer research, when to use the tests, and how to interpret the accuracy of their results.
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Paolino, B.S., Araújo, R.L.C., Bristol, D. (2018). Testing Measures of Associations. In: Araújo, R., Riechelmann, R. (eds) Methods and Biostatistics in Oncology. Springer, Cham. https://doi.org/10.1007/978-3-319-71324-3_4
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DOI: https://doi.org/10.1007/978-3-319-71324-3_4
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