A Markov model for analysing cancer markers and disease states in survival studies.

作者: Richard Kay

DOI: 10.2307/2530699

关键词:

摘要: … The methods discussed in this paper provide an alternative approach to analysis specifically tailored to cancer marker data collected (inevitably) in this haphazard way. Section 2 …

参考文章(12)
Lawrence E. Myers, David F. Paulson, William R. Berry, Edwin B. Cox, John Laszlo, Wilma Stanley, A time-dependent statistical model which relates current clinical status to prognosis: Application to advanced prostatic cancer Journal of Chronic Diseases. ,vol. 33, pp. 491- 499 ,(1980) , 10.1016/0021-9681(80)90074-0
P J Johnson, W M Melia, M K Palmer, B Portmann, R Williams, Relationship between serum alpha-foetoprotein, cirrhosis and survival in hepatocellular carcinoma. British Journal of Cancer. ,vol. 44, pp. 502- 505 ,(1981) , 10.1038/BJC.1981.218
J. D. Kalbfleisch, J. F. Lawless, W. M. Vollmer, Estimation in Markov models from aggregate data Biometrics. ,vol. 39, pp. 907- 919 ,(1983) , 10.2307/2531326
John P. Klein, Jerome H. Klotz, Michael R. Grever, A biological marker model for predicting disease transitions. Biometrics. ,vol. 40, pp. 927- 936 ,(1984) , 10.2307/2531144
Calyampudi Radhakrishna Rao, Linear statistical inference and its applications ,(1965)
Fix E, Neyman J, A simple stochastic model of recovery, relapse, death and loss of patients. Human Biology. ,vol. 23, pp. 205- ,(1951)