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1 Turnbull, B. W., "The empirical distribution function with arbitrarily grouped censored and truncated data" 38 : 290-295, 1976
2 Beyersmann, J., "Simulating competing risk data in survival analysis" 28 : 956-971, 2009
3 Klein, J. P., "Regression modeling of competing risks data based on pseudo values of the cumulative incidence function" 61 : 223-229, 2005
4 Hudgens, M. G., "Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation" 57 : 74-80, 2001
5 Jewell, N. P., "Nonparametric estimation from current status data with competing risks" 90 : 183-197, 2003
6 Lu, K., "Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure" 57 : 1191-1197, 2001
7 Bakoyannis, G., "Modelling competing risks data with missing cause of failure" 29 : 3172-3185, 2010
8 Lindsey, J., "Methods for interval censored data, tutorial in biostatistics" 17 : 219-138, 1998
9 Jewell, N. P., "Maximum likelihood estimation of ordered multinomial parameters" 5 : 291-306, 2004
10 Do, G., "Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach" 2017
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13 Pan, W., "A two-sample test with interval censored data with multiple imputation" 19 : 1-11, 2000
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15 Pan, W., "A multiple imputation approach to cox regression with interval censored data" 56 : 199-203, 2000
16 Gray, R. J., "A class of k-sample tests for comparing the cumulative incidence of a competing risk" 16 : 1141-1154, 1988