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Discovering the causes of cancer and the means of prevention


The R package provides individual risks of lung cancer and lung cancer death based on various published papers: Bach et al., 2003; Spitz et al., 2007; Cassidy et al., 2008 (LLP); Hoggart et al., 2012; Tammemagi et al., 2013; Marcus et al., 2015 (LLPi); Wilson and Weissfeld, 2015 (Pittsburgh); Katki et al., 2016 (LCRAT and LCDRAT)

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  • Bach PB, Kattan MW, Thornquist MD, et al. Variations in lung cancer risk among smokers. J Natl Cancer Inst 2003;95:470-8.
  • Spitz MR, Hong WK, Amos CI, et al. A risk model for prediction of lung cancer. J Natl Cancer Inst 2007;99:715-26.
  • Cassidy A, Myles JP, van Tongeren M, et al. The LLP risk model: an individual risk prediction model for lung cancer. Br J Cancer 2008;98:270-6.
  • Hoggart C, Brennan P, Tjonneland A, et al. A risk model for lung cancer incidence. Cancer Prev Res (Phila) 2012;5:834-46.
  • Tammemagi MC, Katki HA, Hocking WG, et al. Selection criteria for lung-cancer screening. N Engl J Med 2013;368:728-36.
  • Marcus MW, Chen Y, Raji OY, Duffy SW, Field JK. LLPi: Liverpool lung project risk prediction model for lung cancer incidence. Cancer Prev Res (Phila) 2015;8:570-5.
  • Wilson DO, Weissfeld J. A simple model for predicting lung cancer occurrence in a lung cancer screening program: the Pittsburgh predictor. Lung Cancer 2015;89:31-37.
  • Katki HA, Kovalchik SA, Berg CD, Cheung LC, Chaturvedi AK. Development and validation of risk models to select ever-smokers for CT lung cancer screening. JAMA 2016;315:2300-11. doi: 10.1001/jama.2016.6255.
  • Katki HA, Kovalchik SA, Petito LC, Cheung LC, Jacobs E, Jemal A, Berg CD, Chaturvedi AK. Implications of nine risk prediction models for selecting ever-smokers for computed tomography lung cancer screening. Ann Intern Med. 2018;doi: 10.7326/M17-2701.


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