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相关概念视频

Sample Size Calculation01:19

Sample Size Calculation

3.8K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
3.8K
Randomized Experiments01:13

Randomized Experiments

7.2K
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...
7.2K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.3K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.3K
Cluster Sampling Method01:20

Cluster Sampling Method

12.7K
Appropriate sampling methods ensure 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 cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.7K
Random Sampling Method01:09

Random Sampling Method

12.3K
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...
12.3K
Study Design in Statistics01:15

Study Design in Statistics

8.5K
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...
8.5K

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相关实验视频

Updated: Sep 11, 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

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在多阶段贝叶斯随机临床试验中基于漂移参数的样本大小确定.

Yueyang Han1, Haolun Shi1, Jiguo Cao1

  • 1Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, British Columbia, Canada.

Pharmaceutical statistics
|August 14, 2025
PubMed
概括
此摘要是机器生成的。

贝叶斯随机二期试验的样本大小计算现在更快了. 我们的新方法将组序列和贝叶斯设计联系起来,显著减少精确样本大小确定计算时间.

关键词:
贝叶斯式设计 贝叶斯式设计多个阶段的设计设计.第二阶段临床试验临床试验.后面的概率是后面的概率随机化试验是一个随机化试验.样本的大小 样本大小

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相关实验视频

Last Updated: Sep 11, 2025

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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
  • 贝叶斯统计学 贝叶斯统计学

背景情况:

  • 在贝叶斯随机二期试验中确定样本大小是计算密集的.
  • 现有的方法对可行性和效率提出了挑战.

研究的目的:

  • 开发一种新的,计算效率高的方法,用于贝叶斯随机二期试验中的样本大小计算.
  • 为了减少与样本大小确定相关的计算时间.

主要方法:

  • 连接组序列设计与贝叶斯试验设计.
  • 利用样本大小和平方漂移参数之间的比例关系.
  • 采用回归分析来准确地确定样本大小.

主要成果:

  • 显著减少样本大小计算的计算负担.
  • 通过理论证明和广泛的数值评估验证了有效的方法.
  • 在各种试验场景 (二进制,正常,普通,生存终点) 中证明了效率.

结论:

  • 拟议的方法为贝叶斯二期试验中样本大小的确定提供了更快,更有效的算法.
  • R包"BayesSize"有助于这些新方法的实际应用.
  • 这种方法提高了贝叶斯试验设计在临床研究中的可行性.