首页> 外文期刊>Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology >Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations.
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Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations.

机译:具有协变量的异构捕获-捕获模型:封闭种群的部分可能性方法。

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摘要

In practice, when analyzing data from a capture-recapture experiment it is tempting to apply modern advanced statistical methods to the observed capture histories. However, unless the analysis takes into account that the data have only been collected from individuals who have been captured at least once, the results may be biased. Without the development of new software packages, methods such as generalized additive models, generalized linear mixed models, and simulation-extrapolation cannot be readily implemented. In contrast, the partial likelihood approach allows the analysis of a capture-recapture experiment to be conducted using commonly available software. Here we examine the efficiency of this approach and apply it to several data sets.
机译:在实践中,当分析捕获-捕获实验的数据时,很容易将现代的先进统计方法应用于观察到的捕获历史。但是,除非分析考虑到仅从至少捕获过一次的个人那里收集数据,否则结果可能会有偏差。如果不开发新的软件包,就无法轻易实现诸如通用加性模型,通用线性混合模型以及模拟外推之类的方法。相反,部分可能性方法允许使用通用软件对捕获-捕获实验进行分析。在这里,我们检查了这种方法的效率,并将其应用于多个数据集。

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