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J Hyg (Lond). 1979 Aug;83(1):77-93. doi: 10.1017/s0022172400025845.
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本文引用的文献

1
The application of catalytic models to Schistosomiasis in snails.
J Helminthol. 1971;45(2):189-200.
2
Catalytic curve analysis of schistosomiasis in snails.钉螺体内血吸虫病的催化曲线分析
Ann Trop Med Parasitol. 1975 Mar;69(1):133-4. doi: 10.1080/00034983.1975.11686993.
3
A stochastic model for censored-survival data in the presence of an auxiliary variable.
Biometrics. 1976 Sep;32(3):551-9.

估算血吸虫病蜗牛的潜伏期和存活时间。

Estimating the duration of latency and survival time of snails with schistosomiasis.

作者信息

Goddard M J

出版信息

J Hyg (Lond). 1979 Aug;83(1):77-93. doi: 10.1017/s0022172400025845.

DOI:10.1017/s0022172400025845
PMID:458144
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2130098/
Abstract

By means of techniques of analyses of survival data developed for cancer trials it is possible to study aspects of the natural history of the infection of schistosomiasis on the intermediate host of transmission, the snail. The simultaneous study of three response variables is largely based on a model of Lagakos (1976). When using this approach in the schistosomiasis setting it seems inappropriate to assume that one process, the duration of latency, follows an exponential distribution. Thus this stage is modified to follow a normal distribution and the derivatives required to obtain maximum-likelihood estimates and approximate variances of all parameters are provided. Simple graphical tools for assessing the validity of distributional assumptions in survival data are available from industrial research. The reader's attention is drawn to a paper by Nelson (1972). The relevance and application of these methods to the current problem are described in Section 4. In the event that the times to death of prepatent and patent snails do not follow exponential distributions as assumed in the primary model, a further modification is introduced to enable either or both to follow Weibull densities. Lastly it is possible to adapt both the primary model of Section Three and the modified model of Section Five to allow for the inclusion of auxiliary variables or covariates. Again the required derivatives to obtain maximum likelihood estimates and approximate variances are provided.

摘要

借助为癌症试验开发的生存数据分析技术,有可能研究血吸虫病感染在中间传播宿主——蜗牛身上的自然史的各个方面。对三个反应变量的同时研究主要基于拉加科斯(1976年)的一个模型。在血吸虫病背景下使用这种方法时,假设潜伏期这一过程服从指数分布似乎不合适。因此,这个阶段被修改为服从正态分布,并提供了获得所有参数的最大似然估计和近似方差所需的导数。工业研究中有用于评估生存数据中分布假设有效性的简单图形工具。读者可参考纳尔逊(1972年)的一篇论文。第4节描述了这些方法与当前问题的相关性及应用。如果潜伏期和有虫蜗牛的死亡时间不像原始模型所假设的那样服从指数分布,则引入进一步的修改,使其中一个或两个都服从威布尔密度。最后,可以对第三节的原始模型和第五节的修改模型进行调整,以纳入辅助变量或协变量。同样提供了获得最大似然估计和近似方差所需的导数。