Zou Fei, Nie Lei, Wright Fred A, Sen Pranab K
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599.
J Stat Plan Inference. 2009 Mar 1;139(3):978-989. doi: 10.1016/j.jspi.2008.06.009.
In quantitative-trait linkage studies using experimental crosses, the conventional normal location-shift model or other parameterizations may be unnecessarily restrictive. We generalize the mapping problem to a genuine nonparametric setup and provide a robust estimation procedure for the situation where the underlying phenotype distributions are completely unspecified. Classical Wilcoxon-Mann-Whitney statistics are employed for point and interval estimation of QTL positions and effects.
在使用实验杂交的数量性状连锁研究中，传统的正态位置偏移模型或其他参数化方法可能具有不必要的局限性。我们将定位问题推广到真正的非参数设置，并针对潜在表型分布完全未指定的情况提供一种稳健的估计程序。经典的Wilcoxon-Mann-Whitney统计量用于QTL位置和效应的点估计和区间估计。
