Thales C Nepomuceno, Paulo Lyra, Jianbin Zhu, Fanchao Yi, Rachael H Martin, Daniel Lupu, Luke Peterson, Lauren C Peres, Anna Berry, Edwin S Iversen, Fergus J Couch, Qianxing Mo, Alvaro N Monteiro
PURPOSE: The emergence of large real-world clinical databases and tools to mine electronic medical records has allowed for an unprecedented look at large data sets with clinical and epidemiologic correlates. In clinical cancer genetics, real-world databases allow for the investigation of prevalence and effectiveness of prevention strategies and targeted treatments and for the identification of barriers to better outcomes. However, real-world data sets have inherent biases and problems (eg, selection bias, incomplete data, measurement error) that may hamper adequate analysis and affect statistical power...
May 2024: JCO Clinical Cancer Informatics