Why are Missing Data Patterns Significant in Cancer Research?
In cancer studies, missing data can introduce significant biases, making it difficult to draw valid conclusions. Patients might drop out of a study due to severe side effects, disease progression, or even death, leading to non-random missing data. Understanding the patterns of these missing data helps researchers to adjust their analyses appropriately, ensuring more accurate and reliable results.
