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?
摘要：
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。
英文摘要：
Longitudinal observations are sometimes costly or not available. Cross sectional sampling can be an alternative. Observations are drawn then at a specific point in time from a population of durations whose distributions satisfy a {\em core model}. Subsequently, one has a choice. One may process the data immediately, obtaining so called current duration data. Or one waits until the sampled durations are known completely obtaining the full durations via length biased sampling. We compare the Fisher information for the Euclidean parameter corresponding to an Accelerated Failure Time core model when the observations are obtained by either current duration or length biased sampling.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
