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Can I read Inference for Cumulative Incidence Quantiles via Parametric and Nonparametric Approaches on EtoBox?
Inference for Cumulative Incidence Quantiles via Parametric and Nonparametric Approaches by Minjung Lee; Jason P. Fine is a Mathematics article available to read on EtoBox.
What is Inference for Cumulative Incidence Quantiles via Parametric and Nonparametric Approaches about?
In survival analysis, a point estimate and confidence interval for median survival time have been frequently used to summarize the survival curve. However, such quantile analyses on competing risks data have not been widely investigated. In this paper, we propose parametric inferences for quantiles from the cumulative incidence function and develop parametric confidence intervals for quantiles. In addition, we study a simplified method of inference for the nonparametric approach. We compare the parametric and nonparametric inferences in empirical studies. Simulation studies show that the procedures perform well, with parametric analyses yielding smaller mean square error when the model is not too badly misspecified. We illustrate the methods with data from a breast cancer clinical trial. Copyright © 2011 John Wiley & Sons, Ltd.
Who reads Inference for Cumulative Incidence Quantiles via Parametric and Nonparametric Approaches?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Minjung Lee; Jason P. Fine
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 2011
- Language
- EN
- Field
- Mathematics (Physical Sciences)