Why is Ridge Regression Important in Cancer Research?
Cancer research often involves high-dimensional datasets, where the number of predictors can be very large compared to the number of observations. Traditional regression methods can lead to overfitting under these circumstances. Ridge regression is particularly useful because it can handle multicollinearity and prevent overfitting by adding a bias term.
