HMT: Accuracy vs Precision - Developing optimal estimators for trials with multiple hypothesis tests

HMT:准确度与精确度 - 为具有多个假设检验的试验开发最佳估计量

基本信息

  • 批准号:
    MR/M005755/1
  • 负责人:
  • 金额:
    $ 35.37万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2015
  • 资助国家:
    英国
  • 起止时间:
    2015 至 无数据
  • 项目状态:
    已结题

项目摘要

Accurate estimation of a treatment's effect is vital for expressing its true worth. This is important in early phase trials as this information is routinely used to decide whether further study is warranted and to power future studies. Additionally, health bodies require accurate estimation of the treatment effect to make informed choices about cost-effectiveness relative to alternative options as well as benefit risk assessment. In many current studies multiple hypothesis tests are conducted which has the unwanted side effect that the standard method for estimation is inaccurate. This project aims to thoroughly evaluate the extent of bias of the standard estimator in studies in which multiple hypothesis tests are conducted. We will also investigate appropriate graphical displays to visualize treatment effects and develop novel approaches for point and interval estimation that balance accuracy and precision of the estimator. The developments will be made in close connection with clinical researchers and will be overseen by an advisory panel.
准确估计治疗效果对于表达其真正价值至关重要。这在早期试验中很重要,因为这些信息通常用于决定是否需要进一步研究,并为未来的研究提供动力。此外,卫生机构需要准确估计治疗效果,以便就替代方案的成本效益以及效益风险评估做出明智的选择。在目前的许多研究中,多个假设检验进行了不必要的副作用,估计的标准方法是不准确的。本研究目的在于全面评估标准估计量在多重假设检定研究中的偏差程度。我们还将研究适当的图形显示来可视化治疗效果,并开发新的点和区间估计方法,以平衡估计的准确性和精度。这些发展将与临床研究人员密切联系,并由一个顾问小组监督。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A critical review of graphics for subgroup analyses in clinical trials.
对临床试验中亚组分析的图形的批判性综述。
  • DOI:
    10.1002/pst.2012
  • 发表时间:
    2020-09
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Ballarini NM;Chiu YD;König F;Posch M;Jaki T
  • 通讯作者:
    Jaki T
Estimation in multi-arm two-stage trials with treatment selection and time-to-event endpoint.
在多ARM的两阶段试验中进行估计,具有治疗选择和事件时间终点。
  • DOI:
    10.1002/sim.7367
  • 发表时间:
    2017-09-10
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Brückner M;Titman A;Jaki T
  • 通讯作者:
    Jaki T
Design and estimation in clinical trials with subpopulation selection.
  • DOI:
    10.1002/sim.7925
  • 发表时间:
    2018-12-20
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Chiu YD;Koenig F;Posch M;Jaki T
  • 通讯作者:
    Jaki T
Subgroup identification in clinical trials via the predicted individual treatment effect.
  • DOI:
    10.1371/journal.pone.0205971
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Ballarini NM;Rosenkranz GK;Jaki T;König F;Posch M
  • 通讯作者:
    Posch M
SMM913071 Supplemental Material - Supplemental material for Optimized multiple testing procedures for nested sub-populations based on a continuous biomarker
SMM913071 补充材料 - 基于连续生物标志物优化嵌套亚群多重测试程序的补充材料
  • DOI:
    10.25384/sage.12083727
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Graf A
  • 通讯作者:
    Graf A
{{ 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 }}

Thomas Jaki其他文献

Medicines and Healthcare products Regulatory Agency’s “Consultation on proposals for legislative changes for clinical trials”: a response from the Trials Methodology Research Partnership Adaptive Designs Working Group, with a focus on data sharing
  • DOI:
    10.1186/s13063-023-07576-7
  • 发表时间:
    2023-10-05
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Martin Law;Dominique-Laurent Couturier;Babak Choodari-Oskooei;Phillip Crout;Carrol Gamble;Peter Jacko;Philip Pallmann;Mark Pilling;David S. Robertson;Michael Robling;Matthew R. Sydes;Sofía S. Villar;James Wason;Graham Wheeler;S. Faye Williamson;Christina Yap;Thomas Jaki
  • 通讯作者:
    Thomas Jaki
Bayesian trial of adalimumab versus secukinumab for children with juvenile idiopathic arthritis associated uveitis or chronic anterior uveitis
  • DOI:
    10.1186/s12969-025-01107-1
  • 发表时间:
    2025-05-19
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Athimalaipet V Ramanan;Andrew D Dick;Thomas Jaki;Gianmarco Caruso;David S Robertson;Ashley P Jones;Ben Hardwick;Sian Drake;Balini Balasubramaniam;Coziana Ciurtin;Ivan Foeldvari;Elke O Kreps;Alice Leahy;Kristina May;Pierre Quartier;Matthieu P Robert;Gabriele Simonini;Catherine Guly;Michael W Beresford
  • 通讯作者:
    Michael W Beresford
Adaptive designs for phase II cross-over dose-finding trials using Bayesian model averaging
  • DOI:
    10.1186/1745-6215-16-s2-p148
  • 发表时间:
    2015-11-16
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Sarah Simpson;Lisa Hampson;Thomas Jaki;Byron Jones
  • 通讯作者:
    Byron Jones
Adaptive two-stage bioequivalence trials with early stopping and sample size re-estimation
  • DOI:
    10.1186/1745-6215-16-s2-p218
  • 发表时间:
    2015-11-16
  • 期刊:
  • 影响因子:
    2.000
  • 作者:
    Franz Koenig;Martin Wolfsegger;Thomas Jaki;Helmut Schütz;Gernot Wassmer
  • 通讯作者:
    Gernot Wassmer
SPIRIT-DEFINE explanation and elaboration: recommendations for enhancing quality and impact of early phase dose-finding clinical trials protocols
精神-定义的解释和阐述:关于提高早期阶段剂量探索临床试验方案质量和影响的建议
  • DOI:
    10.1016/j.eclinm.2024.102988
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
    10.000
  • 作者:
    Moreno Ursino;Guillermo Villacampa;Jan Rekowski;Munyaradzi Dimairo;Olga Solovyeva;Deborah Ashby;Jordan Berlin;Oliver Boix;Melanie Calvert;An-Wen Chan;Courtney H. Coschi;Thomas R. Jeffry Evans;Elizabeth Garrett-Mayer;Robert M. Golub;Christina Guo;Kathryn S. Hayward;Sally Hopewell;John D. Isaacs;S. Percy Ivy;Thomas Jaki;Christina Yap
  • 通讯作者:
    Christina Yap

Thomas Jaki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('Thomas Jaki', 18)}}的其他基金

MICA: Towards using historical data for research prioritisation in children
MICA:利用历史数据确定儿童研究的优先顺序
  • 批准号:
    MR/M013510/1
  • 财政年份:
    2015
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
Heterogeneity in treatment effects: Can modelling techniques provide personalized prediction of treatment response and uncover groups of respondents?
治疗效果的异质性:建模技术能否提供治疗反应的个性化预测并揭示受访者群体?
  • 批准号:
    MR/L010658/1
  • 财政年份:
    2014
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
Designing and analysing multi-arm multi-stage clinical trials with one or more endpoints
设计和分析具有一个或多个终点的多臂多阶段临床试验
  • 批准号:
    MR/J004979/1
  • 财政年份:
    2012
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant

相似海外基金

WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
  • 批准号:
    10093543
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Collaborative R&D
Investigating the acceptability and accuracy of cervical screening and self-sampling in postnatal women to coincide with the 6-week postnatal check-up
调查产后妇女进行宫颈筛查和自我采样以配合产后 6 周检查的可接受性和准确性
  • 批准号:
    MR/X030776/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317232
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Continuing Grant
Sample Size calculations for UPDATing clinical prediction models to Ensure their accuracy and fairness in practice (SS-UPDATE)
用于更新临床预测模型的样本量计算,以确保其在实践中的准确性和公平性(SS-UPDATE)
  • 批准号:
    MR/Z503873/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
Improving accuracy, coverage, and sustainability of functional protein annotation in InterPro, Pfam and FunFam using Deep Learning methods PID 7012435
使用深度学习方法提高 InterPro、Pfam 和 FunFam 中功能蛋白注释的准确性、覆盖范围和可持续性 PID 7012435
  • 批准号:
    BB/X018563/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
Improving accuracy, coverage, and sustainability of functional protein annotation in InterPro, Pfam and FunFam using Deep Learning methods
使用深度学习方法提高 InterPro、Pfam 和 FunFam 中功能蛋白注释的准确性、覆盖范围和可持续性
  • 批准号:
    BB/X018660/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
STTR Phase I: Microhydraulic Actuator for High-Accuracy, High-Speed Position Stages
STTR 第一阶段:用于高精度、高速位置平台的微液压执行器
  • 批准号:
    2335170
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Medium: Differentially Private SQL with flexible privacy modeling, machine-checked system design, and accuracy optimization
协作研究:SaTC:核心:中:具有灵活隐私建模、机器检查系统设计和准确性优化的差异化私有 SQL
  • 批准号:
    2317233
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Certifying Accuracy of Randomized Algorithms in Numerical Linear Algebra
DMS-EPSRC:验证数值线性代数中随机算法的准确性
  • 批准号:
    EP/Y030990/1
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Research Grant
An innovative Lawtech AI/ML platform with human oversight that manages off-payroll worker status and periodically assesses the role status to ensure accuracy.
具有人工监督功能的创新 Lawtech AI/ML 平台,可管理工资外员工的状态并定期评估角色状态以确保准确性。
  • 批准号:
    10099483
  • 财政年份:
    2024
  • 资助金额:
    $ 35.37万
  • 项目类别:
    Collaborative R&D
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了