In cancer research, datasets often contain missing values due to incomplete patient records, lost follow-ups, or other reasons. Researchers may use listwise deletion to handle these missing values for various types of studies, such as clinical trials, observational studies, and epidemiological research. For example, when studying the efficacy of a new cancer treatment, missing data on patient outcomes can lead to the exclusion of those patients from the analysis.
