What are the Limitations of Bootstrapping in Cancer Research?
Despite its advantages, bootstrapping has limitations. It assumes that the sample is representative of the population, which may not always be the case in cancer research due to sampling bias or data imbalance. Additionally, bootstrapping can be computationally intensive, especially with large genomic datasets. It may also not perform well with very small sample sizes, where the variability in resampled datasets might not adequately represent true population variability.
