Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

519
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
519
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

521
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
521
Study Design in Statistics01:15

Study Design in Statistics

10.2K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.2K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

688
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
688
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

568
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
568
Randomized Experiments01:13

Randomized Experiments

9.2K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.2K

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

Finerenone and Blood Pressure in Heart Failure With Mildly Reduced or Preserved Ejection Fraction: The FINEARTS-HF Randomized Clinical Trial.

JAMA cardiology·2026
Same author

Sleep Apnea in Heart Failure With Mildly Reduced or Preserved Ejection Fraction: The FINEARTS-HF Trial.

JACC. Heart failure·2026
Same author

CUI-MET: A Clinical Utility Index Based Analysis and Decision Framework for Dose Optimization in Multiple-Dose, Multiple-Outcome Randomized Trials.

Pharmaceutical statistics·2026
Same author

Effects of Finerenone on Sudden Death Across the Cardio-Kidney-Metabolic Landscape: A FINE-HEART Analysis.

Journal of the American College of Cardiology·2026
Same author

The impact of shielding on COVID-19 hospitalisations and deaths during 2020 in England: a transmission modelling evaluation using the OpenSAFELY platform.

BMC medicine·2026
Same author

Viral respiratory tract infections in heart failure: the FINEARTS-HF trial.

European heart journal·2026

相关实验视频

Updated: Mar 16, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K

混合控制试验的统计防护:对混和研究间异质性的坚固.

Di Ran1, Fanni Zhang2, Kristine Broglio2

  • 1Oncology Biometrics Statistical Innovation, 1 MedImmune Way, AstraZeneca, Gaithersburg, MD, 20878, USA. di.ran@astrazeneca.com.

Therapeutic innovation & regulatory science
|March 15, 2026
PubMed
概括

混合控制试验利用外部数据来提高药物开发效率. 结合倾向得分平衡和贝叶斯动态借贷的两步策略为有效推断提供了最佳的精度和偏差控制平衡.

关键词:
贝叶斯式借贷方式外部数据 外部数据这是一个历史性的审判.混合控制试验是混合控制试验.倾向性得分的得分是多少?

更多相关视频

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.7K

相关实验视频

Last Updated: Mar 16, 2026

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

1.3K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.7K

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
  • 现实世界的证据.

背景情况:

  • 外部数据源 (试验,注册,现实数据) 可以提高药物开发效率.
  • 混合控制试验设计将外部数据与随机控制臂集成在一起,承诺减少并发招生并保持内部有效性.
  • 混合设计的监管接受受到来自数据源差异的潜在偏差的担忧所阻碍.

研究的目的:

  • 评估使用外部数据在混合控制试验中减轻偏差的统计方法.
  • 在混合试验设计中确定有效推断的强有力的方法.
  • 在不同的混和异质情景下评估各种统计方法的性能.

主要方法:

  • 评估了八种旨在解决外部和试验数据之间的差异的统计方法.
  • 应用于大型临床试验案例研究的方法.
  • 进行了一项全面的模拟研究,结果连续,混杂性不同,数据异质性不同,外部数据源数量不同.

主要成果:

  • 两步策略,包括基于倾向得分的平衡,其次是贝叶斯动态借贷,在精度和偏差控制之间进行了优异的权衡.
  • 这种方法在各种模拟场景中被证明是有效的,包括不同程度的测量/未测量混和数据异质性.
  • 无论使用的外部数据源数量如何,都观察到一致的性能.

结论:

  • 倾向性得分平衡和贝叶斯动态借款的结合为混合控制试验的实施提供了一个强大的方法.
  • 这种方法可以在使用适合目的的外部数据时进行有效的推断和偏差缓解.
  • 这些发现支持将混合试验设计广泛采用,超出目前有限的应用范围.