Purpose: Multifactorial breast cancer risk prediction models use a range of predictors to estimate an individual’s chance of developing breast cancer. Data on risk factors are often incomplete, and point estimates calculated when data are missing can mask considerable uncertainty. Quantifying this uncertainty is critical for effective risk communication.
White et al. (Thu,) studied this question.