New Problems in Multiple Hypotheses Testing

多重假设检验中的新问题

基本信息

  • 批准号:
    0306366
  • 负责人:
  • 金额:
    $ 23.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2003
  • 资助国家:
    美国
  • 起止时间:
    2003-07-15 至 2006-08-31
  • 项目状态:
    已结题

项目摘要

A sudden upsurge of research in the area of multiple hypotheses testing has been taking place in the recent years resulting in newer ideas and raising a number of important statistical questions. The present proposal intends to address a number of those questions. A major thrust of the research will be to provide further development of the theory of false discovery rate (FDR), a new and powerful concept of error rate in multiple testing, which has been receiving increasing attention in a wide variety of statistical applications. While it has been established by the investigator and other researchers recently that there exist multiple testing procedures which can control the FDR in situations involving independent as well as some types of positively dependent test statistics, no theory has yet been developed toward a statistically meaningful comparisons of these procedures. This proposal considers developing this theory in terms of some new criteria involving false negatives rate (FNR). A second major thrust of the proposed research will be the investigation of some important open problems related to directional error control in stepwise multiple testing procedures. The theory of directional error control in multiple testing has so far been concentrated mostly within the framework of independent test statistics, limiting its scope in real applications where the test statistics are rarely independent. The investigator has recently revisited this theory with independent test statistics and improved it for a step-down procedure. This project aims at developing this theory further accommodating other stepwise procedures and test statistics that are not necessarily independent. Recent published research and some preliminary investigations by the investigator provide strong motivation and lay the foundation for the proposed research. The results from this research will be of importance to several areas of statistical applications, including microarray experiments where the concept of false discovery rate has been receiving acceptance as a statistical measure of error in detecting differentially expressed genes, and pharmaceutical studies where multiple testing techniques are routinely used in evaluating a drug's efficacy over standard drug or placebo. This research has the potential to generate collaborations with researchers in biopharmaceutical statistics. It would also benefit education through training of graduate as well as undergraduate students and incorporation of the developed methodologies in statistics courses.
近年来,多假设检验领域的研究突然兴起,产生了新的想法,并提出了一些重要的统计问题。本提案旨在解决其中一些问题。研究的一个主要方向是进一步发展错误发现率(FDR)理论,这是一个新的和强大的概念,错误率在多重测试中,已受到越来越多的关注,在各种各样的统计应用。虽然它已经建立了由调查员和其他研究人员最近,存在多个测试程序,可以控制FDR的情况下,涉及独立的,以及某些类型的正相关的测试统计,还没有理论已经发展到一个统计上有意义的比较这些程序。该建议考虑在涉及假阴性率(FNR)的一些新标准方面发展该理论。第二个主要的推力,拟议的研究将是调查的一些重要的开放性问题有关的方向误差控制在逐步多个测试程序。多重检验中的方向误差控制理论迄今为止主要集中在独立检验统计量的框架内,限制了其在检验统计量很少独立的真实的应用中的范围。研究人员最近重新审视了这一理论与独立的测试统计,并改进了它的逐步下降的程序。这个项目的目的是发展这个理论,进一步容纳其他逐步的程序和检验统计,不一定是独立的。最近发表的研究和研究者的一些初步调查提供了强大的动力,并为拟议的研究奠定了基础。从这项研究的结果将是重要的几个领域的统计应用,包括微阵列实验的概念,错误的发现率已被接受作为一个统计测量错误检测差异表达的基因,和药物研究,其中多种测试技术是常规使用在评估药物的疗效超过标准药物或安慰剂。这项研究有可能产生与生物制药统计研究人员的合作。它还将通过培训研究生和本科生以及在统计课程中纳入所制定的方法来促进教育。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Sanat Sarkar其他文献

Sanat Sarkar的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Sanat Sarkar', 18)}}的其他基金

Novel p-Value Based Multiple Testing Methods for Variable Selection with False Discovery Rate Control
基于 p 值的新颖变量选择多重测试方法以及错误发现率控制
  • 批准号:
    2210687
  • 财政年份:
    2022
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Collaborative Research: New Directions for Research on Some Large-Scale Multiple Testing Problems
协作研究:一些大规模多重测试问题研究的新方向
  • 批准号:
    1309273
  • 财政年份:
    2013
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Continuing Grant
Collaborative Research: Constructing New Multiple Testing Methods
协作研究:构建新的多重测试方法
  • 批准号:
    1006344
  • 财政年份:
    2010
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Multiple Testing: Further Development Of Theory And Methodology
多重测试:理论和方法的进一步发展
  • 批准号:
    0603868
  • 财政年份:
    2006
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
NSF-CBMS Regional Conference in Mathematical Sciences: New Horizons in Multiple Comparison Procedures August 13-17, 2001
NSF-CBMS 数学科学区域会议:多重比较程序的新视野 2001 年 8 月 13-17 日
  • 批准号:
    0086140
  • 财政年份:
    2000
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant

相似海外基金

Multiple independent NMR dimensions: smart experiments for complicated problems
多个独立的 NMR 维度:复杂问题的智能实验
  • 批准号:
    EP/X035476/1
  • 财政年份:
    2023
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Research Grant
Simulation-based multiple inference problems: theory and application
基于仿真的多重推理问题:理论与应用
  • 批准号:
    RGPIN-2019-06114
  • 财政年份:
    2022
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
  • 批准号:
    2310322
  • 财政年份:
    2022
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
  • 批准号:
    2106978
  • 财政年份:
    2021
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Simulation-based multiple inference problems: theory and application
基于仿真的多重推理问题:理论与应用
  • 批准号:
    RGPIN-2019-06114
  • 财政年份:
    2021
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Discovery Grants Program - Individual
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
  • 批准号:
    2205868
  • 财政年份:
    2021
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
  • 批准号:
    2107093
  • 财政年份:
    2021
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Standard Grant
Simulation-based multiple inference problems: theory and application
基于仿真的多重推理问题:理论与应用
  • 批准号:
    RGPIN-2019-06114
  • 财政年份:
    2020
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Discovery Grants Program - Individual
Acoustic Inverse Problems with Single and Multiple Measurements
单次和多次测量的声学反演问题
  • 批准号:
    2006881
  • 财政年份:
    2020
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Continuing Grant
Maximum independent set and dominating set problems underlying multiple access communication codes
多址通信码的最大独立集和支配集问题
  • 批准号:
    20K03715
  • 财政年份:
    2020
  • 资助金额:
    $ 23.4万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了