Missing data can lead to biased results, reducing the validity and reliability of clinical trials and studies. Incomplete data sets can affect the efficacy of personalized medicine, making it challenging to formulate accurate prognoses or treatment plans. Moreover, missing data can obscure the true prevalence and incidence of various cancers, hindering public health efforts and resource allocation.
