Estimating distribution of age of the onset of detectable asymptomatic cancer

Authors:
G. Parmigiani;S. Skates
Affiliations:
Departments of Oncology and Biostatistics, Johns Hopkins University School of Medicine 550 North Broadway, Suite 1103 Baltimore, MD 21205-2011, U.S.A.;Harvard Medical School, Massachusetts General Hospital Biostatistics Center, 50 Staniford St., Suite 560 Boston, MA 02114, U.S.A.
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2001

Citing 2
Cited 0

Elements of statistical computing: numerical computation

Elements of statistical computing: numerical computation
Iterative SVD-based methods for ill-posed problems

SIAM Journal on Scientific Computing

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Abstract

In this paper, we develop a model and a deconvolution technique to estimate the distribution of the age of onset of detectable preclinical cancer. using incidence data and information about cancer growth rate. Our approach considers the effect of age on both the growth rate and competing causes of death. We illustrate our methodology using data on breast cancer, and discuss implications for breast cancer screening.