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http://dx.doi.org/10.5351/KJAS.2006.19.3.395

Modified Product-Limit Estimator via Period Analysis  

Kim, Jin-Heum (Department of Applied Statistics, University of Suwon)
Ahn, Yoon-Ok (Department of Preventive Medicine, Seoul National University College of Medicine)
Publication Information
The Korean Journal of Applied Statistics / v.19, no.3, 2006 , pp. 395-406 More about this Journal
Abstract
Long-term survival rates are the most commonly used outcome measures for patients with cancer. However, traditional long-term survival statistics, which are derived by cohort analysis or complete analysis, essentially reflect the survival expectations of patients diagnosed many years ago. They are often outdated at the time they become available. In this article, we propose a modified product-limit method to obtain up-to-date estimates of long-term survival rates via a period analysis. The proposed method is illustrated with cancer registry data collected from January 1993 to December 1997.
Keywords
Cancer registry data; Left truncation; Modified product-limit estimator; Period analysis;
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