Nonparametric Analysis of Recurrent Gap Time Data

• Main Authors: LAI, YU-HSING, 賴郁馨
• Other Authors: SHEN, PAO-SHENG
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/k25r97

碩士 === 東海大學 === 統計學系 === 106 === Recurrent event data are frequently encountered in longitudinal studies. In many applications, the times between successive recurrent events (gap times) are often of interest and lead to problems that have received much attention recently. In this article, using the approach of inverse probability-of-censoring weights (IPCW), we propose nonparametric estimators for the estimation of the bivariate distribution and survival functions for gap times of recurrent event data. The asymptotic properties of the proposed estimators are established. Simulation studies are conducted to investigate their finite sample performance.