Rejoinder: On Methods Controlling the False Discovery Rate
نویسندگان
چکیده
The false discovery rate of Benjamini and Hochberg has a great influence in shaping modern statistical theory. Besides its relevance and utility in contemporary statistical applications, there is mathematical elegance in its theory that is fascinating and has motivated me, just as it it did many others, I am sure, toward its further development and meaningful extension. I try to bring out this elegance in the paper by presenting some important results on FDR with different proofs and insights, in addition to offering a possible extension of the theory of FDR to correlated test statistics. I am delighted to see that the discussants, Professor P. K. Sen and Professors Romano, Shaikh and Wolf, reacted positively to my paper. I thank them for their complimentary and encouraging comments and making interesting observations on how the theory of FDR could potentially be enriched in light of the results presented in the paper. I must, however, mention that there are several other important results on the FDR that I have not been able to present in this paper. Moreover, as Gilles Blanchard has pointed out when I requested him to comment on the final draft of this paper that somewhat similar tools were used independently in other recent papers in proving some of the same results presented here; see Blanchard and Roquain (2008) which has been revised more recently after this paper is written and is avaialable at http://arxiv.org/abs/0707.0536.
منابع مشابه
The False Discovery Rate in Simultaneous Fisher and Adjusted Permutation Hypothesis Testing on Microarray Data
Background and Objectives: In recent years, new technologies have led to produce a large amount of data and in the field of biology, microarray technology has also dramatically developed. Meanwhile, the Fisher test is used to compare the control group with two or more experimental groups and also to detect the differentially expressed genes. In this study, the false discovery rate was investiga...
متن کاملRejoinder on: Control of the false discovery rate under dependence using the bootstrap and subsampling
We are extremely appreciative of the insightful comments made by all the responders. The goal of constructing useful multiple testing methods which control the false discovery rate and other measures of error is currently a thriving and important area of research. On the one hand, the bootstrap method presented in the present work seems to work quite well and is supported by some theoretical an...
متن کاملA Stochastic Process Approach to False Discovery Control
This paper extends the theory of false discovery rates (FDR) pioneered (1995) 289–300]. We develop a framework in which the False Discovery Proportion (FDP)—the number of false rejections divided by the number of rejections—is treated as a stochastic process. After obtaining the limiting distribution of the process, we demonstrate the validity of a class of procedures for controlling the False ...
متن کاملA Stochastic Process Approach to False Discovery Rates
This paper extends the theory of false discovery rates (FDR) pioneered by Benjamini and Hochberg (1995). We develop a framework in which the False Discovery Proportion (FDP) – the number of false rejections divided by the number of rejections – is treated as a stochastic process. After obtaining the limiting distribution of the process, we demonstrate the validitiy of a class of procedures for ...
متن کاملEmpirical Bayes methods for controlling the false discovery rate with dependent data
False discovery rate (FDR) has been widely used as an error measure in large scale multiple testing problems, but most research in the area has been focused on procedures for controlling the FDR based on independent test statistics or the properties of such procedures for test statistics with certain types of stochastic dependence. Based on an approach proposed in Tang and Zhang (2005), we furt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009