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Risk Estimation Data Set


This dataset includes 2,392,998 screening mammograms (called the "index mammogram") from women included in the Breast Cancer Surveillance Consortium and results were published by Barlow et al. in the September 2006 issue of the Journal of the National Cancer Institute. Other investigators may wish to explore modification of risk factors by demographic factors or statistical issues, such as the effect of data imputation for missing values, or alternative estimation models. The particular dataset used in this study was a large cross-classification of risk factors by cancer outcome. All women did not have a previous diagnosis of breast cancer and did not have any breast imaging in the nine months preceding the index screening mammogram. However, all women had undergone previous breast mammography in the prior five years (though not in the last nine months). Cancer registry and pathology data were linked to the mammography data and incident breast cancer (invasive or ductal carcinoma in situ) within one year following the index screening mammogram was assessed. See the Risk Model Dataset Documentation for more information about the variables included in the dataset.

In August 2012, the BCSC added a second version of this dataset. The second version limits observations to one per woman, as opposed to multiple observations. All population and all other characteristics remain the same.

Acknowledge the BCSC

The following source must be cited when using this dataset:

"Data collection and sharing was supported by the National Cancer Institute-funded Breast Cancer Surveillance Consortium (HHSN261201100031C). A list of the BCSC investigators and procedures for requesting BCSC data for research purposes are provided at:"

Information about receiving data from the BCSC may also be included in the methods section using language such as:

"Data for this study was obtained from the BCSC Data Resource. More information regarding this resource is available at:"

Access the Dataset

Investigators are able to access the datasets by entering the information below and submitting a request for a password. Your password, and future notices regarding dataset updates, will be sent in an e-mail message to the address that you provide.

1. Request a password:

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2. Use the password(s) to download the dataset

Passwords for one or both datasets will be sent to you via e-mail based on your selection above. Use them to:

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