We study regression models for mean value parameters in survival analysis based on pseudo-observations. Such parameters include the survival probability and the cumulative incidence in a single point as well as the restricted mean life time and the cause-specific number of years lost. Goodness of fit techniques for such models based on cumulative sums of pseudo-residuals are derived including asymptotic results and Monte Carlo simulations. Practical examples from liver cirrhosis and bone marrow transplantation are also provided.

中文翻译：

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基于伪观测估计方程的拟合检验的优度。

我们研究基于伪观测的生存分析中均值参数的回归模型。这些参数包括单点的生存概率和累积发生率，以及受限制的平均寿命和因特定原因而损失的年数。推导了基于伪残差累积和的此类模型的拟合技术，包括渐近结果和蒙特卡洛模拟。还提供了肝硬化和骨髓移植的实例。