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

Clinical Trials01:16

Clinical Trials

6.8K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
6.8K
Clinical Trials: Overview01:11

Clinical Trials: Overview

3.0K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.0K
Randomized Experiments01:13

Randomized Experiments

7.0K
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...
7.0K

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

Understanding the Added Value of Action Limits for QTL Monitoring.

Therapeutic innovation & regulatory science·2026
Same author

Implementing Project Optimus in Oncology Dosage Optimization: Where are We Now?

Therapeutic innovation & regulatory science·2026
Same author

Voices of Hanford Workers Exposed to Chemical Vapors: Interactions with Workplace, Safety, Health Care and Compensation Systems.

New solutions : a journal of environmental and occupational health policy : NS·2026
Same author

Socioeconomic Deprivation Does Not Influence Disease Severity or Access to Dupilumab in Eosinophilic Esophagitis.

Gastroenterology research·2026
Same author

FGL2-HDAC11 Drives Immunothrombosis via NETs-Mediated Endothelial Capillarization in MASLD Fibrosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

A Comparison of Methods for Treatment Selection in Seamless Phase II/III Design.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Comparison of Different Methods for the Meta-Analysis of Diagnostic Test Accuracy Studies-A Simulation Study.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

When to Adjust for Multiple Testing: A Unifying Guiding Principle.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Ensuring Quality in Preclinical Research: The Importance of Being Human.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Addressing Cluster-Level Treatment Effect Heterogeneity in Sample Size Determination for Hierarchical 2 × 2 Factorial Designs.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

A Multiple Imputation Approach to Distinguish Curative From Life-Prolonging Effects in the Presence of Missing Covariates.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach.

Biometrical journal. Biometrische Zeitschrift·2026
查看所有相关文章

相关实验视频

Updated: Jul 16, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.0K

城市:使用间流事件模拟器进行临床试验.

Ahmad Hakeem Abdul Wahab1, Yongming Qu2, Hege Michiels3

  • 1Statistics and Decision Sciences, Janssen Pharmaceuticals, Titusville, New Jersey, USA.

Biometrical journal. Biometrische Zeitschrift
|September 22, 2023
PubMed
概括
此摘要是机器生成的。

一个新的模拟工具CITIES可以为具有间流事件 (ICE) 的临床试验生成现实的数据. 这使得研究人员能够在标准化基准上比较分析方法,改善制药研究中的因果推理.

关键词:
有关因果推理的推理.估计 估计 估计 估计间流动的事件是间流动的事件.反复采取措施反复采取措施.

更多相关视频

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.4K

相关实验视频

Last Updated: Jul 16, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.0K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.4K

科学领域:

  • 生物统计学 生物统计学
  • 药学研究 药学研究
  • 临床试验方法论 临床试验方法论

背景情况:

  • 临床试验面临的挑战是间流动事件 (ICE),如治疗中止,导致缺失数据和混因果推断.
  • 由于数据共享限制和定制模拟研究,现有的分析ICE试验的方法很难进行比较.
  • 制药行业需要标准化的方法来评估因果推理方法在ICE的存在.

研究的目的:

  • 开发一个一般的模拟模型和基于R的Shiny应用程序 (CITIES) 用于在ICE的临床试验中生成数据.
  • 提供一个工具,促进生成现实的临床试验数据,模仿真实世界的总结统计数据,而不使用原始试验数据.
  • 为了能够在相同的基准设置中对ICE进行不同分析方法的比较.

主要方法:

  • 在鲁宾因果模型框架下开发一种新的,通用模拟模型.
  • 将模型实现到一个用户友好的R中的Shiny应用程序中,名为CITIES.
  • 在临床试验中考虑ICE的治疗效应的配方,使用重复测量.

主要成果:

  • 关于总结统计数据,CITIES有效地生成类似于现实生活中的临床试验的数据.
  • 模拟模型允许创建基准数据集,用于比较分析方法.
  • 案例研究表明,CITIES在与ICE对临床试验分析方法的比较方面具有实用性.

结论:

  • 城市为医药行业从业人员提供了一个全面的工具,用于将临床试验的分析方法与ICE进行比较.
  • 该应用程序提供相同的基准设置来评估方法性能,增强因果推理.
  • 这种方法解决了临床试验方法研究中标准化数据生成的需要.