Simulation Study for Statistical Methods in Comparing Cure Rates between Two Groups
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박미라
(을지의과대학교 의예과)
이재원 (고려대학교 통계학) 진서훈 (국민은행 카드마케팅팀) |
1 |
Accelerated failure-time regression models with a regression model of surviving fraction: an application to the analysis of permenent employment in Japan
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DOI ScienceOn |
2 |
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3 |
The use of mixture models for the analysis of survival data with long-term survivors
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DOI ScienceOn |
4 |
Survivorship analysis when cure is a possibility: a Monte Carlo study
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DOI ScienceOn |
5 |
A linear rank test for use when the main interest is in difference in cure rates
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DOI ScienceOn |
6 |
Exponential mixture models with long-term survivors and covariates
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DOI ScienceOn |
7 |
A family of multiplicative survival models incorporating a long-term survivorship parameter C as a function of covariates
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DOI ScienceOn |
8 |
On estimaing the proportion of cured patients in clinical studies
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9 |
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10 |
A mixture model combining logistic regression with proportional hazards regression
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DOI ScienceOn |
11 |
Nonparametric estimation and testing in a cure model
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DOI ScienceOn |
12 |
Group sequential methods for comparison of cure rates in clinical trials
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DOI ScienceOn |
13 |
A generalized F mixture model for cure rate estimation
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DOI ScienceOn |
14 |
A nonparametric mixture model for cure rate estimation
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DOI ScienceOn |
15 |
A comparison of tests of the difference in the proportion of patients who are cured
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DOI ScienceOn |
16 |
Estimation in a Cox proprtional hazards cure model
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DOI ScienceOn |
17 |
On distribution free tests for equality of survival distributions
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DOI ScienceOn |
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