Jove
Visualize
联系我们

相关概念视频

Randomized Experiments01:13

Randomized Experiments

6.7K
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...
6.7K
Group Design02:01

Group Design

8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
Random Sampling Method01:09

Random Sampling Method

11.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.0K
Sampling Plans01:23

Sampling Plans

167
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
167
Systematic Sampling Method01:17

Systematic Sampling Method

10.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
10.0K
Stratified Sampling Method01:16

Stratified Sampling Method

11.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
11.7K

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

Functional principal component analysis forsparse censored data.

Biometrika·2026
Same author

Bayesian adaptive randomization in the I-SPY2 sequential multiple assignment randomized trial.

Biometrics·2026
Same author

Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits.

Reinforcement learning journal·2026
Same author

Assessing the utility of the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) as a screening tool among caregivers of hematopoietic stem cell transplantation survivors.

Cancer·2026
Same author

Independent Increments and Group Sequential Tests.

Statistics in medicine·2025
Same author

A Pilot Study of the Cancer Distress Coach-Caregiver App: A Digital Intervention for Reducing PTSD Symptoms in HCT Caregivers.

Psycho-oncology·2025
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
查看所有相关文章
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

相关实验视频

Updated: Jun 5, 2025

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

14.4K

顺序性多重分配随机试验 (Smarts) 的自适应性随机化方法通过普森抽样.

Peter Norwood1, Marie Davidian2, Eric Laber3

  • 1Quantum Leap Healthcare Collaborative, 499 Illinois Ave, Suite 200, San Francisco, CA 94158, United States.

Biometrics
|December 16, 2024
PubMed
概括
此摘要是机器生成的。

响应适应性随机化 (RAR) 改善了顺序多重分配随机试验 (SMARTs) 中的患者结果. 这项研究为SMARTs引入了基于Thompson采样的RAR算法,增强了伦理和统计试验的好处.

关键词:
相反的概率加权估计器.精准医学是一门精准医学.响应适应性随机化,治疗方案

更多相关视频

Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

41.7K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K

相关实验视频

Last Updated: Jun 5, 2025

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

14.4K
Barnes Maze Testing Strategies with Small and Large Rodent Models
12:59

Barnes Maze Testing Strategies with Small and Large Rodent Models

Published on: February 26, 2014

41.7K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K

科学领域:

  • 临床试验方法论 临床试验方法论
  • 生物统计学 生物统计学
  • 适应性试验设计

背景情况:

  • 响应适应性随机化 (RAR) 在单阶段试验中提供了伦理和统计上的优势.
  • 顺序多重分配随机试验 (SMART) 对于评估多阶段治疗方案至关重要.
  • 在复杂的SMART框架内,RAR的好处仍未得到充分探索.

研究的目的:

  • 为SMARTs开发和评估新的RAR算法.
  • 适应普森采样 (TS) 用于多阶段适应性试验设计.
  • 确保在SMART中根据RAR对治疗方案进行有效的统计推断.

主要方法:

  • 为SMARTs提出了一套RAR算法,扩展了普森采样 (TS).
  • 开发了研究后的推断程序,以解释RAR非标准的非对称行为.
  • 利用真实世界SMART数据的经验研究进行验证.

主要成果:

  • 拟议的基于TS的RAR算法改善了试验对象的结果.
  • 在试验后对治疗方案进行比较的效率保持不变.
  • 这些算法是第一个在多阶段适应性试验中解决非标准限制行为的人.

结论:

  • 基于普森抽样的RAR对SMARTs有效.
  • 这些方法提高了伦理试验的进行和患者的结果.
  • 开发的程序支持复杂的适应性试验中强大的统计推理.