LIKELIHOOD ANALYSIS OF MULTI-STATE MODELS FOR DISEASE INCIDENCE AND MORTALITY
LIKELIHOOD ANALYSIS OF MULTI-STATE MODELS FOR DISEASE INCIDENCE AND MORTALITY
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DOI：
10.1002/sim.4780070116
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发表时间：
1988-01-01
影响因子：
2
通讯作者：
LAWLESS, JF
中科院分区：
文献类型：
--
作者：
KALBFLEISCH, JD;LAWLESS, JF
与个人生活史相关的数据可以通过许多不同的方式获得，多状态模型用于统计分析的有用性通常高度依赖于数据的类型和性质。在本文中，我们关注这一点，并提出了一种方法来估计与回顾性或不完全前瞻性观察相关的某些“困难”情况。本文首先指出了生命史过程数据分析中存在的一些问题。我们讨论了一些简单情况下的最大似然估计，并引入了一个伪似然，使一些采样过程的简单分析成为可能。这种方法在标准的回顾性和病例队列设计中得到说明。
Data related to life histories of individuals can be obtained in many different ways, and the usefulness of multi‐state models for statistical analysis is generally highly dependent on the type and nature of the data. In this paper, we focus on this, and present an approach to estimation for certain ‘difficult’ situations associated with retrospective or incomplete prospective observation. The paper begins with the identification of some problem areas in the analysis of data on life history processes. We discuss maximum likelihood estimation in some simple contexts and introduce a pseudo‐likelihood which enables the simple analysis of some sampling procedures. This approach is illustrated on standard retrospective and case‐cohort designs.