针对亲本基因型数据的信息性缺失，对TRANSMIT进行自助法校准。
Bootstrap calibration of TRANSMIT for informative missingness of parental genotype data.
作者信息
Allen Andrew S, Collins Julianne S, Rathouz Paul J, Selander Craig L, Satten Glen A
机构信息
Department of Biostatistics and Bioinformatics and Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
出版信息
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S39. doi: 10.1186/1471-2156-4-S1-S39.
Informative missingness of parental genotype data occurs when the genotype of a parent influences the probability of the parent's genotype data being observed. Informative missingness can occur in a number of plausible ways and can affect both the validity and power of procedures that assume the data are missing at random (MAR). We propose a bootstrap calibration of MAR procedures to account for informative missingness and apply our methodology to refine the approach implemented in the TRANSMIT program. We illustrate this approach by applying it to data on hypertensive probands and their parents who participated in the Framingham Heart Study.
当父母的基因型影响该父母基因型数据被观测到的概率时，就会出现父母基因型数据的信息性缺失。信息性缺失可能以多种看似合理的方式出现，并且会影响假定数据为随机缺失（MAR）的程序的有效性和效能。我们提出对MAR程序进行自助校准，以应对信息性缺失，并应用我们的方法来改进TRANSMIT程序中实施的方法。我们将这种方法应用于参与弗雷明汉心脏研究的高血压先证者及其父母的数据，以此对该方法进行说明。
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