Machine Learning (ML) in Biostatistics: Transforming Data-Driven Biomedical Research
Introduction Biostatistics has long been the backbone of biomedical research, public health, clinical trials, and epidemiology. Traditionally, statistical methods such as regression analysis, hypothesis testing, and experimental design have been used to analyze biological and medical data. However, the rapid growth of big data, high-throughput technologies, and electronic health records (EHRs) has pushed traditional biostatistical … Read more