Abstract
Censored survival time is the outcome of numerous studies. We select a few examples from the medical literature to give a glimpse of the scope of studies involving censored survival time. Although survival time is usually the time to death, it can be broadly referred to as the time to the occurrence of an event of interest. For example, age of onset for breast cancer can be interpreted as a survival time.
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References
S.M. Ansell, B.L. Rapoport, G. Falkson, J.I. Raats, and C.M. Moeken. Survival determinants in patients with advanced ovarian cancer. Gynecologic Oncology, 50:215–220, 1993.
R. Brookmeyer. Reconstruction and future trends of the AIDS epidemic in the United States. Science, 253:37–42, 1991.
W.J. Curran, C.B. Scott, J. Horton, et al. Recursive partitioning analysis of prognostic factors in three radiation therapy oncology group malignant glioma trials. Journal of the National Cancer Institute, 85:704–710, 1993.
R. Peto. Experimental survival curves for interval-censored data. Applied Statistics, 22:86–91, 1973.
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Zhang, H., Singer, B.H. (2010). Analysis of Censored Data: Examples. In: Recursive Partitioning and Applications. Springer Series in Statistics, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6824-1_7
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DOI: https://doi.org/10.1007/978-1-4419-6824-1_7
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