题　目: Accessing regional significance in gene mapping studies --------------------------------------------------------------- 主讲人: 连怡斌教授 (国立彰化师范大学数学系暨统计资讯研究所) --------------------------------------------------------------- 时　间: 95年11月10日 (星期五) 10:40 - 11:30 (上午10 : 20-10:40茶会於统计所821室举行) --------------------------------------------------------------- 地 点: 清大综合三馆837室 --------------------------------------------------------------- Abstract Fibe mapping is useful for identifying disease susceptibility genes that underlie complex diseases. Technoligical advances have yielded a dramatic increase in the density of available genetic markers, necessitating an increase in the number of tests required for the analysis. As such, the multiple-tests correction becomes a critical issue. As an alternative to the conventional locus-specific concept, we applied the two approaches: longest significant run (LSR) and maxima excursion (ME), which estimate a region-specific p-value to provide an index of a most likely candidate region. An advantage of the methods is that only p-value data are needed and hence can be applied extensively to different study designs. Simulation studies and authentic data sets were used to evaluate the performance of the methods -- ╔╦ ◢ ◣ ◢ ◣ ◢██◣ Am I Who Am ███ ╦╗ ╠ █ █ █ █ █ █ ◢██◣ ◢◣◢◣ █ ╣ ╬╩ █◢◣█ ████ █ █ █ █ █◥◤█ █ ╔╬ ║╦ ◥◤◥◤ █ █ ◥██◤ ████ █ █ ███ ╣ ╚╣ Who Am I Who ◥ ◤ ◥ ◤ I ╠╝ --

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