改良型均差法

Adjusted MD method

張宗楷(Chung-Kai Chang)

指導教授 ： 謝文萍

國立清華大學/理學院/統計學研究所/碩士(2006年)

https://doi.org/10.6843/NTHU.2006.00048

摘要

多重比較在微陣列技術上面的應用是很熱門的課題，為了能精準控制誤判率，通常採用的輔助方法是估計虛無假設的數目，再做進一步的計算。在這個領域上面，MD法有著不錯的表現，但是有些領域的研究需要更大量的基因，MD法的估計則會略顯保守，在這裡我們以改變程序起始點的方式對MD法做了一些修正，這個修正還可以選擇你可以接受的誤差的估計值。

關鍵字

虛無假設 ； 均差法 ； 改良

並列摘要

Abstract
The Multiple test applied on microarray is still a hot issue. For precision estimation, a well-accepted method is to estimate the number of null hypotheses. In this topic MD method performs usefully. But the researcher may need more genes for his study. We build a adjusted method for this request. We change the starting location of the original method and plot a curve to choose the number depending on the standard deviation you can accept.

參考文獻

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Efron, B., Tibshirani, R., Storey, J. D. and Tusher, V. (2001) Empirical Bayes analysis of a microarray experiment. J. Am. Statist. Ass. , 96, 1151-1160.

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Hochberg, Y., Tamhane, A. C. (1987). Multiple Comparison Procedures. New York. John Wiley & Sons.

Hsueh, H., Chen, J. J., Kodell, R. L. (2003) Comparison of methods for estimating the number of true null hypothesis in multiplicity testing.