Applying k-sample tests to conditional probabilities for competing risks in a clinical trial.
暂无分享,去创建一个
[1] Niels Keiding,et al. Statistical Models Based on Counting Processes , 1993 .
[2] T. Pajak,et al. Analysis of the probability and risk of cause-specific failure. , 1994, International journal of radiation oncology, biology, physics.
[3] M S Pepe,et al. Weighted Kaplan-Meier statistics: a class of distance tests for censored survival data. , 1989, Biometrics.
[4] J. Kalbfleisch,et al. The Statistical Analysis of Failure Time Data , 1980 .
[5] D. Harrington,et al. Counting Processes and Survival Analysis , 1991 .
[6] Margaret S. Pepe,et al. Inference for Events with Dependent Risks in Multiple Endpoint Studies , 1991 .
[7] M S Pepe,et al. Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data? , 1993, Statistics in medicine.
[8] J P Klein,et al. Statistical methods for dependent competing risks , 1995, Lifetime data analysis.
[9] R. Gray. A Class of $K$-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk , 1988 .
[10] R. Gelber,et al. Improved methodology for analyzing local and distant recurrence. , 1990, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[11] Jeffrey J. Gaynor,et al. On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples from Clinical Oncology Data , 1993 .
[12] M Lunn,et al. Applying Cox regression to competing risks. , 1995, Biometrics.