Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data

Autor: Xu Zhang, Yong Jiang, Haci Akcin, Yichuan Zhao
Rok vydání: 2018
Předmět:
Zdroj: New Frontiers of Biostatistics and Bioinformatics ISBN: 9783319993881
DOI: 10.1007/978-3-319-99389-8_20
Popis: The reverse-time hazard was routinely evaluated or modeled under the context of right truncation. However, this quantity does not have a natural interpretation. Based on the relation between the reverse-time and forward-time hazards, we developed the nonparametric inference for the forward-time hazard. We studied a family of weighted tests for comparing the hazard function between two independent samples. We showed the weak convergence properties and conduct the simulation studies to investigate the practical performances of the proposed variance estimators and tests. Finally, we analyzed the data set about AIDS incubation time to illustrate estimation and two-sample tests about the cumulative hazard function.
Databáze: OpenAIRE