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AI 根据所提供的论文材料归类:摘要聚焦临床纵向状态进展与误诊建模,未明确研究所列面板计量方法或其他对应方向。

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代码、数据与补充材料

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关注这篇论文的作者
Mark A. Espeland
Orah S. Platt
Dianne Gallagher

不规则纵向数据中发生率与诊断错误率的联合估计

研究问题
对逐步进展的分类状态进行不规则重复诊断时,如何区分真实状态变化与诊断错误,并联合估计两类发生率?
方法与思路
作者联合参数化状态进展发生率与诊断错误率,用 EM 算法实施最大似然估计,并以似然比检验分析协变量关系。
材料陈述的贡献
摘要称该算法可处理个体间不同且不规则的诊断时点;镰状细胞病应用显示成熟延迟及随年龄变化的诊断错误。
阅读关注点
应核对真实进展与误诊的识别条件、重复诊断之间的依赖设定、EM 收敛情况,以及诊断时点是否具有选择性。
阅读边界
仅据 OpenAlex 索引摘要,稿件版本未注明;联合识别所需条件及诊断安排机制未说明,不能将示例结果推广到其他疾病。

原文摘要

Longitudinal studies often involve the repeated diagnosis across time of each patient's status with respect to a progressive categorical process. When the occurrence of a change in status is not readily apparent, two factors can make modeling and assessing the incidence rates of progression difficult. First, because diagnoses may be difficult, they may not be performed with the frequency necessary to pinpoint exact times of incidence. Second, uncertainty in the diagnostic process can obscure identification of the time interval in which incidence occurs. When serial diagnoses are fallible, even small error rates can seriously disrupt interpretation and make using the aforementioned methods difficult or impossible. For example, if false diagnoses (both false positives and negatives) occur independently with probability .05 in a longitudinal study involving four serial diagnoses, 19% of the strings of serial diagnoses would be expected to contain at least one error. If the underlying process is progressive, many of these errors would be noticeable: At face value, some patterns of diagnoses would describe regressions. Errors yielding patterns of diagnoses that are progressive would not be detectable. Simply omitting any subjects with inconsistent patterns from the analysis introduces bias. Another possible approach, using the first reported incidence of progression, also introduces bias (Schlesselman 1977). To analyze clinical data on the diagnosis of sexual maturation among subjects with sickle-cell disease, models are developed for jointly parameterizing incidence and error rates. An EM algorithm is presented that allows tractable maximum likelihood estimation even when the times of diagnoses are irregular and vary among subjects. Likelihood ratio tests are used to assess relationships between categorical covariates and both incidence and error rates. Data from the Cooperative Study of Sickle Cell Disease are analyzed to describe the age distribution for the onset of puberty (according to the Tanner stage index) among homozygous (SS) males. Clear delays in maturation are apparent among SS males. Diagnostic error rates for Tanner staging appear to vary with the subject's age. False-positive diagnoses appear to be more common than false-negative diagnoses.

笔记与分组