Recurrent event data occur in many fields and many approaches have been proposed for
their analyses (Andersen et al.(1993)[1]; Cook and Lawless (2007)[3]). However, most of the …

The Cox model with time‐dependent coefficients has been studied by a number of authors
recently. In this paper, we develop empirical likelihood (EL) pointwise confidence regions for …

The subject of this master thesis is the application of survival analysis to predict policy
churns in a non-life insurance industry. Especially, models and methods are applied to …

Marginal mean models of temporal processes in event time data analysis are gaining more
attention for their milder assumptions than the traditional intensity models. Recent work on …

In the analysis of survival data, when nonproportional hazards are encountered, the Cox
model is often extended to allow for a time-dependent effect by accommodating a varying …

In this article, we formulate a class of semiparametric marginal means models with a mixture
of time-varying and time-independent parameters for analyzing panel data. For inference …

We develop tests of the proportional hazards assumption, with respect to a continuous
covariate, in the presence of unobserved heterogeneity with unknown distribution at the …

To enhance modeling flexibility, the authors propose a nonparametric hazard regression
model, for which the ordinary and weighted least squares estimation and inference …

要 旨加法ハザードモデル, 比例オッズモデル, 加速モデルなど, 比例ハザード性を満たさないセミ
パラメトリックモデルに対する様々な推測法が, 近年提案されてきた. Cox 比例ハザードモデルで …