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确定模型二的选择。通过出生顺序数据区分多先证者模型。

Choice of ascertainment model II. Discrimination between multi-proband models by means of birth order data.

作者信息

Stene J

出版信息

Ann Hum Genet. 1979 May;42(4):493-505. doi: 10.1111/j.1469-1809.1979.tb00682.x.

Abstract

Probability models have been developed for family data, where each family has been selected or ascertained through a group of m probands, where m is a known parameter, not a random variable. The birth orders of the probands among the affected children are reported for each family. It is demonstrated that this information is sufficient for choice of ascertainment model. The conditional probability that an ascertained family with s children has r affected ones, depends, in addition to the segregation parameter, on the birth order of the youngest proband only. By means of the joint distribution of the birth orders of the other probands, it can be demonstrated if the ascertainment takes place through affected children near to or distant from each other in relative birth orders. Statistical methods have been developed for cases with two and cases with m probands.

摘要

已经为家庭数据开发了概率模型,其中每个家庭是通过一组m个先证者来选择或确定的,m是一个已知参数,而不是随机变量。每个家庭都报告了先证者在受影响儿童中的出生顺序。结果表明,这些信息足以选择确定模型。一个有s个孩子的已确定家庭中有r个受影响孩子的条件概率,除了分离参数外,仅取决于最年幼先证者的出生顺序。通过其他先证者出生顺序的联合分布,可以证明确定是通过相对出生顺序彼此接近或远离的受影响儿童进行的。已经针对有两个先证者的情况和有m个先证者的情况开发了统计方法。

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