Giovanni Parmigiani, Donald A. Berry, Edwin Iversen, Jr., Peter Muller, Joellen Schildkraut, Eric P. Winer  Home/Search
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Abstract: Recent advances in the understanding of genetic susceptibility to breast cancer, notably identification of the BRCA1 and BRCA2 genes, and the advent of genetic testing, raise important questions for clinicians, patients and policy makers. Answers to many of these questions hinge on accurate assessment of the risk of breast cancer. In particular, it is important to predict genetic susceptibility based on easy-to-collect data about family history of breast and related cancers, to predict... (Update)
Context of citations to this paper: More
...who currently use the probability scoring model in the course of their genetic counseling. 14 Iversen, Parmigiani, Berry False Positive True Positive 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.2 0.4 0.6 0.8 1.0 Sampled Curves Posterior Mean Uninformative Case Perfectly Calibrated Case...
...raises the issue of how to estimate the distributions w p , w d , q c and q d . here we present an approach proposed by Skates and Parmigiani (1998). If no screening takes place, T = Y U is the age of the patient at the time of symptoms. The instantaneous probability of...
Cited by: More
Decision Models In Screening For Breast Cancer - Parmigiani (1999) (Correct)
Validating Bayesian Prediction Models: a Case Study.. - Iversen, Jr.. (1998) (Correct)
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BibTeX entry: (Update)
Parmigiani, G., Berry, D., Iversen, Jr, E. S., Muller, P., Schildkraut, J., and Winer, E. (1998a). Modeling risk of breast cancer and decisions about genetic testing. In Case Studies In Bayesian Statistics, volume IV. http://citeseer.ist.psu.edu/401124.html More
@misc{ parmigiani-modeling,
author = "G. Parmigiani and D. Berry and E. Iversen and P. Muller and J. Schildkraut
and E. Winer",
title = "Modeling risk of breast cancer and decisions about genetic testing",
text = "Parmigiani, G., Berry, D., Iversen, Jr, E. S., Muller, P., Schildkraut,
J., and Winer, E. (1998a). Modeling risk of breast cancer and decisions
about genetic testing. In Case Studies In Bayesian Statistics, volume IV.",
url = "citeseer.ist.psu.edu/401124.html" }
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