Measuring agreement of multivariate discrete survival times using a modified weighted kappa coefficient.
Measuring agreement of multivariate discrete survival times using a modified weighted kappa coefficient.
复制标题
使用修改后的加权 kappa 系数测量多变量离散生存时间的一致性。
DOI：
10.1111/j.1541-0420.2008.01054.x
复制
发表时间：
2009
期刊：
影响因子：
1.9
通讯作者：
Manatunga,AmitaK
中科院分区：
文献类型：
--
作者：
Guo,Ying;Manatunga,AmitaK
Assessing agreement is often of interest in clinical studies to evaluate the similarity of measurements produced by different raters or methods on the same subjects. We present a modified weighted kappa coefficient to measure agreement between bivariate discrete survival times. The proposed kappa coefficient accommodates censoring by redistributing the mass of censored observations within the grid where the unobserved events may potentially happen. A generalized modified weighted kappa is proposed for multivariate discrete survival times. We estimate the modified kappa coefficients nonparametrically through a multivariate survival function estimator. The asymptotic properties of the kappa estimators are established and the performance of the estimators are examined through simulation studies of bivariate and trivariate survival times. We illustrate the application of the modified kappa coefficient in the presence of censored observations with data from a prostate cancer study.
