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首页> 外文期刊>Journal of the Royal Statistical Society. Series C, Applied statistics >Assessing Poisson variation of intestinal tumour multiplicity in mice carrying a Robertsonian translocation
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Assessing Poisson variation of intestinal tumour multiplicity in mice carrying a Robertsonian translocation

机译:评估罗伯逊易位小鼠肠道肿瘤多样性的泊松变异

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摘要

Tumour multiplicity is a frequently measured phenotype in animal studies of cancer biology. Poisson variation of this measurement represents a biological and statistical reference point that is usually violated, even in highly controlled experiments, owing to sources of variation in the stochastic process of tumour formation. A recent experiment on murine intestinal tumours presented conditions which seem to generate Poisson-distributed tumour counts. If valid, this would support a claim about mechanisms by which the adenomatous polyposis coli gene is inactivated during tumour initiation. In considering hypothesis testing strategies, model choice and Bayesian approaches, we quantify the positive evidence favouring Poisson variation in this experiment. Statistical techniques used include likelihood ratio testing, the Bayes and Akaike information criteria, negative binomial modelling, reversible jump Markov chain Monte Carlo methods and posterior predictive checking. The posterior approximation that is based on the Bayes information criterion is found to be quite accurate in this small n case-study.
机译:在癌症生物学的动物研究中,肿瘤多样性是经常测量的表型。由于肿瘤形成的随机过程的变化来源,即使在高度受控的实验中,这种测量的泊松变化也代表了通常被违反的生物学和统计学参考点。最近在鼠类肠道肿瘤上进行的实验提出的条件似乎会产生泊松分布的肿瘤计数。如果有效,这将支持有关在肿瘤起始过程中使腺瘤性息肉病大肠杆菌基因失活的机制的主张。在考虑假设检验策略,模型选择和贝叶斯方法时,我们量化了支持泊松变异的积极证据。使用的统计技术包括似然比检验,贝叶斯和Akaike信息标准,负二项式建模,可逆跳跃马尔可夫链蒙特卡洛方法和后验预测检查。在这个很小的n个案例研究中,发现基于贝叶斯信息准则的后验近似非常准确。

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