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. (2012). Monte Carlo Tests and Bootstraps for Analysis of Complex Data (10, 20, 139, and 55 Patients). In: SPSS for Starters, Part 2. SpringerBriefs in Statistics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4804-0_18
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DOI: https://doi.org/10.1007/978-94-007-4804-0_18
Publisher Name: Springer, Dordrecht
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