We develop flexible multiparameter regression (MPR) survival models for interval‐censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multiparameter Weibull regression survival model, which is wholly parametric, and has nonproportional hazards, is the main focus of the article. We describe the basic model, develop the interval‐censored likelihood, and extend the model to include gamma frailty and a dispersion model. We evaluate the models by means of a simulation study and a detailed reanalysis of data from the Signal Tandmobiel study. The results demonstrate that the MPR model with frailty is computationally efficient and provides an excellent fit to the data.

中文翻译：

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用于间隔检查的生存数据的多参数回归模型。

我们针对纵向前瞻性研究和纵向随机对照临床试验中出现的区间删失生存数据，开发了灵活的多参数回归（MPR）生存模型。本文的主要重点是完全参数化且具有非比例风险的多参数Weibull回归生存模型。我们描述了基本模型，开发了区间删节似然性，并将模型扩展到包括伽玛脆弱和弥散模型。我们通过仿真研究和对Signal Tandmobiel研究数据的详细重新分析来评估模型。结果表明，具有脆弱性的MPR模型在计算上是有效的，并且可以很好地拟合数据。