文献库 文献相关信息

题目:
Improved population-based probability of developing cancer when direct estimates of the cancer-free population are available.
作者:
Simonetti(Arianna),Mariotto(Angela),Krapcho(Martin),Feuer(Eric J)
状态:
发布时间2012-06-12 , 更新时间 2012-06-12
期刊:
Lifetime Data Anal
摘要:
Age-conditional probabilities of developing a first cancer represent the transition from being cancer-free to developing a first cancer. Natural inputs into their calculation are rates of first cancer per person-years alive and cancer-free. However these rates are not readily available because they require information on the cancer-free population. Instead rates of first cancer per person-years alive, calculated using as denominator the mid-year populations, available from census data, can be easily calculated from cancer registry data. Methods have been developed to estimate age-conditional probabilities of developing cancer based on these easily available rates per person-years alive that do not directly account for the cancer-free population. In the last few years models (Merrill et al., Int J Epidemiol 29(2):197-207, 2000; Mariotto et al., SEER Cancer Statistics Review, 2002; Clegg et al., Biometrics 58(3):684-688, 2002; Gigli et al., Stat Methods Med Res 15(3):235-253, 2006, and software (ComPrev:Complete Prevalence Software, Version 1.0, 2005) have been developed that allow estimation of cancer prevalence (DevCan: Probability of Developing or Dying of Cancer Software, Version 6.0, 2005). Estimates of population-based cancer prevalence allows for the estimation of the cancer-free population and consequently of rates per person-years alive and cancer-free. In this paper we present a method that directly estimates the age-conditional probabilities of developing a first cancer using rates per person-years alive and cancer-free obtained from prevalence estimates. We explore conditions when the previous and the new estimators give similar or different values using real data from the Surveillance, Epidemiology and End Results (SEER) program.
语言:
eng
DOI:
10.1007/s10985-012-9216-6

联系方式

山东省济南市章丘区文博路2号 齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号大学科技园北区F座4单元2楼

电话: 0531-88819269

E-mail: product@genelibs.com

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。