Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Binomial Expansion Using Pascal's Triangle

Binomial Expansion Using Pascal's Triangle

Expanding a binomial expression such as (a + b)n results in a predictable sequence of terms that can be systematically derived using Pascal’s Triangle. This triangular array of numbers plays a central role in understanding and computing the coefficients of binomial expansions.Pascal’s Triangle is constructed such that each row corresponds to the coefficients of a binomial raised to a power. The topmost row, known as the zeroth row, corresponds to (a + b)0, and each successive row...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Acceptability and Implementation of a Primary Care Health Check for Autistic People: Findings From Evaluation Questionnaires and Interviews.

Autism : the international journal of research and practice·2026

Same author

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights.

Statistical methods in medical research·2026

Same author

Applying a hypothetical strategy to the intercurrent event of non-adherence with the parametric g-formula: a post hoc secondary analysis of the MET-PREVENT randomised controlled trial.

Trials·2026

Same author

Digital Data Collection Reduces Terminal Digit Bias in Haemodynamic and Physical Activity Measures in Pulmonary Arterial Hypertension.

Pulmonary circulation·2026

Same author

Platform trial of smartphone-based cognitive-behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial.

BMJ open·2026

Same author

Towards high-quality and timely interim analyses in adaptive trials: a scoping review of best practice and evidence gaps.

Trials·2026

Same journal

Regression analysis of misclassified current status data with potentially unknown test accuracy.

Statistical methods in medical research·2026

Same journal

Bayesian multivariate linear mixed-effects models with varied association structures.

Statistical methods in medical research·2026

Same journal

Inference about the ratio of age-standardized rates between two overlapping populations.

Statistical methods in medical research·2026

Same journal

A robust neural network with random effects for subject-specific prediction of clustered count data.

Statistical methods in medical research·2026

Same journal

A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints.

Statistical methods in medical research·2026

Same journal

Joint analysis of longitudinal and recurrent event data: A functional regression approach with autoregressive frailty.

Statistical methods in medical research·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jan 9, 2026

Assessing Activity-based Anorexia in Mice

Assessing Activity-based Anorexia in Mice

Published on: May 14, 2018

对篮子试验的增强二进制方法 (ABBA)

Svetlana Cherlin¹, James M S Wason¹

¹Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.

Statistical methods in medical research

|December 5, 2025

概括

此摘要是机器生成的。

本研究引入了用于篮子试验的增强二进制方法,提高了临床研究的统计能力和效率. 这种新方法通过借鉴各次试验的信息来增强分析,这对响应者的结果特别有益.

关键词:

贝叶斯的推理贝叶斯的推理增强二进制方法增强二进制方法篮子临床试验临床试验免疫介导的炎症性疾病.潜在的变量框架的框架.

更多相关视频

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

相关实验视频

Last Updated: Jan 9, 2026

Assessing Activity-based Anorexia in Mice

Assessing Activity-based Anorexia in Mice

Published on: May 14, 2018

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage

Published on: August 4, 2018

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

科学领域:

生物统计学生物统计学
临床试验设计临床试验设计
药理学研究药理学研究

背景情况:

传统的临床试验经常使用响应者结果,这将连续测量进行二分化,可能会降低统计能力.
已提出增强二进制方法,以利用非二元化数据来提高功率.
篮子试验在临床研究中越来越多地被用于评估多个子试验中的治疗方法.

研究的目的:

扩展用于篮子试验的增强二进制方法,特别是用于采用响应者结果的临床领域.
通过在分试验之间借鉴治疗效果的信息来提高篮子试验的效率.
在使用贝叶斯层次模型的潜在变量框架内开发一种新的统计方法.

主要方法:

提出了一种增强的二进制方法,适用于篮子试验,具有响应者结果.
采用隐性变量框架和贝叶斯层次模型.
通过模拟研究方法的性能,比较点估计和高密度间隔与用于篮子试验的标准二进制结果分析.

主要成果:

拟议的增强二进制方法证明了对日志概率比率后方分布的95%高密度区间的减少.
该方法显示,当治疗效应在各次试验中一致时,统计能力增加.
与标准篮子试验分析相比,模拟证实了提高效率和功率.

结论:

新的增强二进制方法提供了一种更有效的方法来分析带有响应者的结果的篮子试验.
这种方法有效地借用了跨子试验的信息,从而提高了统计能力和精度.
该方法成功地用从类风湿病学临床试验中获得的真实世界的数据来说明.