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A Comparison of Testing Methods for Equality of Survival Distributions with Interval Censored Data
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 Title & Authors
A Comparison of Testing Methods for Equality of Survival Distributions with Interval Censored Data
Kim, Soo-Hwan; Lee, Shin-Jae; Lee, Jae-Won;
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 Abstract
A two-sample test for equality of survival distribution is one of the important issues in survival analysis, especially for clinical and epidemiological research. With interval censored data, some testing methods have been developed. This study introduces some testing methods and compares them under various situations through simulation study. Based on simulation result, it provides some useful information on choosing the most appropriate testing method in a given situation.
 Keywords
Interval censored data;log-rank test;IWD test;
 Language
Korean
 Cited by
 References
1.
Braun, J., Duchesne, T. and Stafford, J. E. (2005). Local likelihood density estimation for interval censored data, Canadian Journal of Statistics, 33, 39-60. crossref(new window)

2.
Fang, H. (2002). Nonparametric survival comparison for interval-censored continuous data, Statistica Sinica, 12, 1073-1083.

3.
Fay, M. P. (1996). Rank invariant tests for interval censored data under the grouped continuous model, Biometrics, 52, 811-822. crossref(new window)

4.
Finkelstein, D. M. (1986). A proportional hazards model for interval-censored failure time data, Biometrics, 42, 845-854. crossref(new window)

5.
Fleming, T. R., O'Fallon, J. R. and O'Brien, P. C. (1980). Modified Kolmogorov-Smirnov test procedures with application to arbitrarily right-censored data, Biometrics, 36, 607-625. crossref(new window)

6.
Gentleman, R. and Geyer, C. J. (1994). Maximum likelihood for interval censored data: Consistency and computation, Biometrika, 81, 618-623. crossref(new window)

7.
Jung, M. N. and Lee, J. W. (1998). A comparison of the statistical methods for testing the equality of two survival distributions, The Korean Journal of Applied Statistics, 11, 113-127.

8.
Law, C. G. and Brookmeyer, R. (1992). Effects of mid-point imputation on the analysis of doubly censored data, Statistics in Medicine, 11, 1569-1578. crossref(new window)

9.
Pan, W. (2000a). A two-sample test with interval censored data via multiple imputation, Statistics in Medicine, 19, 1-11. crossref(new window)

10.
Pan, W. (2000b). Smooth estimation of the survival function for interval censored data, Statistics in Medicine, 19, 2611-2624. crossref(new window)

11.
Pepe, M. S. and Fleming, T. R. (1989). Weighted Kaplan-Meier statistics: A class of distance tests for censored survival data, Biometrics, 45, 497-507. crossref(new window)

12.
Petroni, G. and Wolfe, R. (1994). A two-sample test for stochastic ordering with interval-censored data, Biometrics, 50, 77-87. crossref(new window)

13.
Turnbull, B. W. (1976). The empirical distribution function with arbitrarily grouped, censored and truncated data, Journal of the Royal Statistical Society, Series B, 38, 290-295.

14.
Yun, E. and Kim, C. (2010). Estimation of survival function and median survival time in interval-censored data, The Korean Journal of Applied Statistics, 23, 521-531. crossref(new window)

15.
Zhao, Q. and Sun, J. (2004). Generalized log-rank test for mixed interval-censored failure time data, Statistics in Medicine, 23, 1621-1629. crossref(new window)