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用于生成死后间隔估计昆虫生长模型的采样方法评估。

An evaluation of sampling methods used to produce insect growth models for postmortem interval estimation.

作者信息

Wells Jeffrey D, Lecheta Melise C, Moura Mauricio O, LaMotte Lynn R

机构信息

Department of Biological Sciences, Florida International University, Miami, FL, USA,

出版信息

Int J Legal Med. 2015 Mar;129(2):405-10. doi: 10.1007/s00414-014-1029-6. Epub 2014 Jun 15.

Abstract

Many authors produced carrion insect development data for predicting the age of an insect from a corpse. Under some circumstances, this age value is a minimum postmortem interval. There are no standard protocols for such experiments, and the literature includes a variety of sampling methods. To our knowledge, there has been no investigation of how the choice of sampling method can be expected to influence the performance of the resulting predictive model. We calculated 95 % inverse prediction confidence limits for growth curves of the forensically important carrion flies Chrysomya megacephala and Sarconesia chlorogaster (Calliphoridae) at a constant temperature. Confidence limits constructed on data for entire age cohorts were considered to be the most realistic and were used to judge the effect of various subsampling schemes from the literature. Random subsamples yielded predictive models very similar to those of the complete data. Because taking genuinely random subsamples would require a great deal of effort, we imagine that it would be worthwhile only if the larval measurement technique were especially slow and/or expensive. However, although some authors claimed to use random samples, their published methods suggest otherwise. Subsampling the largest larvae produced a predictive model that performed poorly, with confidence intervals about an estimate of age being unjustifiably narrow and unlikely to contain the true age. We believe these results indicate that most forensic insect development studies should involve the measurement of entire age cohorts rather than subsamples of one or more cohorts.

摘要

许多作者给出了腐食性昆虫的发育数据,用于从尸体推断昆虫的年龄。在某些情况下,这个年龄值是最短的死后间隔时间。此类实验没有标准方案,文献中包含多种采样方法。据我们所知,尚未有人研究采样方法的选择对最终预测模型性能的影响。我们计算了在恒温条件下,具有法医重要性的大头金蝇和澳洲丝光绿蝇(丽蝇科)生长曲线的95%反向预测置信区间。基于整个年龄组数据构建的置信区间被认为是最现实的,并用于评判文献中各种二次采样方案的效果。随机二次采样得到的预测模型与完整数据的模型非常相似。由于获取真正的随机二次样本需要付出巨大努力,我们认为只有在幼虫测量技术特别缓慢和/或昂贵时才值得这样做。然而,尽管一些作者声称使用随机样本,但其发表的方法却并非如此。对最大的幼虫进行二次采样得到的预测模型表现不佳,年龄估计的置信区间过窄,不太可能包含真实年龄。我们认为这些结果表明,大多数法医昆虫发育研究应涉及对整个年龄组的测量,而非一个或多个年龄组的二次样本。

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