Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring

A. Adam Ding, Guangkai Shi, Weijing Wang and Jin‐jian Hsieh

Scandinavian Journal of Statistics, 2009, vol. 36, issue 3, 481-500

Abstract: Abstract. Multiple events data are commonly seen in medical applications. There are two types of events, namely terminal and non‐terminal. Statistical analysis for non‐terminal events is complicated due to dependent censoring. Consequently, joint modelling and inference are often needed to avoid the problem of non‐identifiability. This article considers regression analysis for multiple events data with major interest in a non‐terminal event such as disease progression. We generalize the technique of artificial censoring, which is a popular way to handle dependent censoring, under flexible model assumptions on the two types of events. The proposed method is applied to analyse a data set of bone marrow transplantation.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:bla:scjsta:v:36:y:2009:i:3:p:481-500

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