Statistical modeling in cancer research involves the use of mathematical frameworks to understand, predict, and analyze the various aspects of cancer. These models are essential for interpreting complex biological data, predicting cancer progression, and optimizing treatment strategies. They help researchers and clinicians make informed decisions by identifying patterns and relationships within the data.
