The integration of real-world data (RWD) into biostatistics is revolutionizing the field of clinical research. Real-world data refers to health-related information collected from a variety of sources outside traditional clinical trials, such as electronic health records (EHRs), claims and billing…
Missing data is a common challenge in clinical trials that can compromise the validity and reliability of statistical analyses. Effective methods for addressing and imputing missing data are essential to ensure robust and reliable results. This article explores best practices…
Machine learning (ML) is transforming various industries, and clinical research is no exception. The application of ML in clinical trial data analysis offers the potential to enhance data accuracy, uncover new insights, and improve the efficiency of clinical trials. This…
