Abstract
Monte Carlo methods allows you to examine complex data more easily than advanced mathematics like integrals and matrix algebra. It uses random numbers from your own study rather than assumed Gaussian curves. For continuous data a special type of Monte Carlo method is used called bootstrap which is based on random sampling from your own data with replacement.
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Cleophas, T.J., Zwinderman, A.H. (2016). Monte Carlo Tests for Continuous Data (10 and 20 Patients). In: SPSS for Starters and 2nd Levelers. Springer, Cham. https://doi.org/10.1007/978-3-319-20600-4_27
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DOI: https://doi.org/10.1007/978-3-319-20600-4_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20599-1
Online ISBN: 978-3-319-20600-4
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