Increased Cost: Oversampling can require more resources, time, and funding to recruit additional participants. Complex Analysis: Data analysis becomes more complex as researchers need to apply weights to adjust for the oversampling. Potential for Overfitting: There is a risk of overfitting the data, especially in small subgroups, leading to spurious associations.
