What Are Some Recent Advances in Cancer Biostatistics?
Recent advances in cancer biostatistics include:
Machine Learning: Using machine learning algorithms to analyze large and complex datasets, such as genomic data. Bayesian Methods: Applying Bayesian statistical methods, which allow the incorporation of prior knowledge into the analysis. Real-World Evidence: Analyzing real-world data, such as electronic health records, to complement traditional clinical trials. Personalized Medicine: Developing statistical methods to identify which treatments are most effective for individual patients based on their genetic and molecular profiles.
