Bias in cancer research can occur at multiple stages, from data collection to the interpretation of results. For instance, if a study only includes data from a specific demographic, the model may not perform well for other groups, leading to biased outcomes. This is known as selection bias. Additionally, biases can occur due to the way data is measured or recorded, known as measurement bias.
