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

Binomial Probability Distribution01:15

Binomial Probability Distribution

10.2K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
10.2K
Randomized Experiments01:13

Randomized Experiments

6.8K
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...
6.8K
Contingency Table01:29

Contingency Table

2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
Probability Laws01:49

Probability Laws

40.7K
Overview
40.7K
Survival Tree01:19

Survival Tree

66
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
66
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

32
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
32

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

Lumbar drainage in intracerebral haemorrhage with intraventricular haemorrhage (DRAIN IVH): protocol for a multi-centre, randomised-controlled, two-arm, assessor-blinded trial.

European stroke journal·2026
Same author

Multimodal assessment of emotion regulation in children of parents with a mental illness.

European child & adolescent psychiatry·2026
Same author

Association of hemodynamic variability during endovascular stroke treatment with functional outcome and parenchymal hemorrhage.

Therapeutic advances in neurological disorders·2025
Same author

Estimation of treatment effects in early phase randomized clinical trials involving multiple data sources for external control.

Journal of biopharmaceutical statistics·2025
Same author

Comments on "Sample Size Adaptation Designs and Efficiency Comparison With Group Sequential Designs".

Statistics in medicine·2025
Same author

Sample size recalculation in three-stage clinical trials and its evaluation.

BMC medical research methodology·2024
Same journal

Correction.

Journal of biopharmaceutical statistics·2026
Same journal

Leveraging external controls in clinical trials: estimands, estimation, assumptions.

Journal of biopharmaceutical statistics·2026
Same journal

Special issue of nonclinical statistics in regulatory applications guest editors' notes.

Journal of biopharmaceutical statistics·2026
Same journal

Comparison of flexible parametric modeling and nonparametric methods to estimate restricted mean survival time: A simulation study.

Journal of biopharmaceutical statistics·2026
Same journal

Simulated treatment comparisons with jackknife pseudo values for estimating population-adjusted marginal treatment effects.

Journal of biopharmaceutical statistics·2026
Same journal

Sample sizes for randomized controlled trials utilizing Bayesian response adaptive randomization for continuous outcomes.

Journal of biopharmaceutical statistics·2026
查看所有相关文章

相关实验视频

Updated: Jun 12, 2025

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

41.8K

评估分层β-二项式模型作为篮子试验中的基本信息共享工具.

Moritz Pohl1, Lukas D Sauer1, Meinhard Kieser1

  • 1Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany.

Journal of biopharmaceutical statistics
|September 27, 2024
PubMed
概括
此摘要是机器生成的。

与复杂的逻辑转换模型相比,分层β-二项式模型为篮子试验中的统计信息共享提供了一个更简单,更易于解释的替代方案.

关键词:
篮球试验 篮球试验贝斯湾是贝斯湾的一个地区.方法的比较方法的比较.一个层次化的模型模型.模拟模拟是指一个模拟模拟.

更多相关视频

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

5.9K

相关实验视频

Last Updated: Jun 12, 2025

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

41.8K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.3K
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

5.9K

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

背景情况:

  • 目前的篮子试验统计方法主要使用贝叶斯层次模型,具有逻辑转换的响应率.
  • 这种逻辑转换使模型的解释和应用在临床环境中变得复杂.

研究的目的:

  • 研究分层β-二项式模型作为在篮子试验中信息共享的逻辑转换模型的可行的替代方案.
  • 系统地比较两种建模方法在临床试验设计中的适用性.

主要方法:

  • 系统地比较分布假设和贝叶斯的行为贝塔二项式和逻辑转换模型.
  • 制定一个校准程序,在模型中设置可比的先验值.
  • 在模拟研究中推导一个评估指标来评估共享属性.

主要成果:

  • 层次化的β-二项式模型展示了在篮子试验中共享信息的可行方法.
  • 与逻辑转换模型相比,β-双项模型提供了更好的解释性.
  • 开发了一种新的评估措施来评估共享财产.

结论:

  • 层次化的β-二项式模型是在篮子试验中共享统计信息的可行且不那么复杂的替代方案.
  • 这种方法提高了临床研究的利益相关者对模型的理解.
  • 进一步采用β-双项模型可以简化篮子试验方法.