Missing values can have several detrimental effects on cancer research:
Bias: Missing data can lead to biased estimates if the missingness is related to the outcome or other key variables. Reduced Statistical Power: Incomplete data reduces the sample size, which can diminish the statistical power of the study. Misleading Conclusions: Inaccurate handling of missing values can lead to incorrect conclusions, affecting clinical decisions and policy-making.
