截面抽样下加速失效时间模型的有效估计

Maximum Approximate Likelihood Estimation in Accelerated Failure Time Model for Interval-Censored Data

The approximate Bernstein polynomial model, a mixture of beta distributions, is applied to obtain maximum likelihood estimates of the regression coefficients, and the baseline density and survival functions in an accelerated failure time model based on interval censored data including current status data. The rate of convergence of the proposed estimates are given under some conditions for uncensored and interval censored data. Simulation shows that the proposed method is better than its competitors. The proposed method is illustrated by fitting the Breast Cosmetic Data using the accelerated f…

当前持续时间和长度有偏抽样下加速失效时间模型中回归参数的信息比较：耐心值得吗？

A Comparison of Information Concerning the Regression Parameter in The Accelerated Failure Time Model under Current Duration and Length Biased Sampling: Does it Pay to be Patient?

纵向观测有时费用昂贵或无法获得。横截面取样可以是一种替代方法。然后在特定时间点从其分布满足{ \em核心模型}的持续时间群体中提取观察结果。随后，人们有一个选择。可以立即处理数据，获得所谓的当前持续时间数据。或者等待，直到采样持续时间完全已知，通过长度偏置采样获得完整的持续时间。我们比较了Fisher信息的欧几里德参数对应的加速失效时间的核心模型时，获得的意见，无论是当前的持续时间或长度偏置抽样。

具有缺失数据的半参数加速失效时间模型的渐近理论

Asymptotic theory for the semiparametric accelerated failure time model with missing data

本文考虑一类具有缺失数据的转换（或加速失效时间）模型的双加权秩估计方法，例如在病例队列研究中。所考虑的权重可能无法按照鞅随机过程公式的要求进行预测。我们把一般问题作为一个半参数估计方程问题，并利用经验过程理论证明了加权估计的渐近性质，无论是真权估计还是估计权估计.仿真结果表明，结果依赖加权方法适用于有限样本的病例队列研究，并提高了效率相比，基于可预测的权重的方法。此外，可以看出，当使用估计权重时，该方法甚至更有效，这在缺失数据文献中是常见的情况。Gehan删失数据Wilcoxon权重被发现是令人惊讶的效率在广泛的一类问题。

多重并发故障机制下的竞争加速失败时间模型

Competing Accelerated Failure Time Models for Multiple Concurrent Failure Mechanisms

本文提出了一种竞争加速失败时间模型，用于分析疾病竞争和交互的个体时间动态，通过时间变化的获胜概率量化潜在原因的相对贡献，提升患者分层的可解释性。

Efficient estimation of accelerated lifetime models under length-biased sampling

In prevalent cohort studies where subjects are recruited at a cross-section, the time to an event may be subject to length-biased sampling, with the observed data being either the forward recurrence time, or the backward recurrence time, or their sum. In the regression setting, it has been shown that the accelerated failure time model for the underlying event time is invariant under these observed data set-ups and can be fitted using standard methodology for accelerated failure time model estimation, ignoring the length-bias. However, the efficiency of these estimators is unclear, owing to the…

通过工具变量交互作用的结构性加速失效时间模型的识别与推断

Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions

针对存在未测量混杂的右删失时间-事件结局，提出一种利用工具变量交互作用进行识别和推断的框架，无需经典工具变量有效性假设，并采用增强逆概率删失加权和广义经验似然方法实现稳健推断。