Abstract
In the preceding chapters only data analyses with a single outcome variable (y-variable) have been addressed. Linear, logistic, Cox regressions are examples. If these methods included multiple predictors variables (otherwise called exposure variables or x-variables), they are sometimes erroneously called multivariate methods. However, this is not correct, because the term multivariate analysis refers to the simultaneous analysis of more than one outcome variable. An more adequate term for the analysis of multiple predictors variables is “multivariable or multiple variables analysis”.
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Cleophas, T.J., Zwinderman, A.H. (2012). Multivariate Analysis. In: Statistics Applied to Clinical Studies. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2863-9_25
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DOI: https://doi.org/10.1007/978-94-007-2863-9_25
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