Percent mammographic density prediction: development of a model in the nurses' health studies.

ABSTRACT:

Purpose

To develop a model to predict percent mammographic density (MD) using questionnaire data and mammograms from controls in the Nurses' Health Studies' nested breast cancer case-control studies. Further, we assessed the association between both measured and predicted percent MD and breast cancer risk.

Methods

Using data from 2,955 controls, we assessed several variables as potential predictors. We randomly divided our dataset into a training dataset (two-thirds of the dataset) and a testing dataset (one-third of the dataset). We used stepwise linear regression to identify the subset of variables that were most predictive. Next, we examined the correlation between measured and predicted percent MD in the testing dataset and computed the r ² in the total datase

SUBMITTER: Rice MS 

PROVIDER: S-EPMC5568000 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature