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相关概念视频

Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.4K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.4K
Binomial Probability Distribution01:15

Binomial Probability Distribution

11.2K
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,...
11.2K
Bonferroni Test01:10

Bonferroni Test

2.8K
The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
2.8K
Sample Size Calculation01:19

Sample Size Calculation

3.6K
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...
3.6K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

279
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
279
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

177
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
177

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相关实验视频

Updated: Jul 27, 2025

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

Barnes Maze Testing Strategies with Small and Large Rodent Models

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匹配比率和样本大小为最佳的顺序测试与二项式数据的测试.

Ivair R Silva1, Fernando Oliveira1

  • 1Department of Statistics, Federal University of Ouro Preto, MG, Ouro Preto, Brazil.

Statistical methods in medical research
|June 6, 2023
PubMed
概括
此摘要是机器生成的。

在顺序分析中选择匹配比率 (z) 对于临床试验设计至关重要. 本研究为选择z提供了一个统计指令,以优化二进制数据分析中的样本大小和功率.

关键词:
硬币策略 硬币策略阿尔法支出函数是指支出的函数.预计信号到信号的时间.

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A Real-world What-Where-When Memory Test
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Last Updated: Jul 27, 2025

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Published on: February 26, 2014

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A Real-world What-Where-When Memory Test
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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
  • 顺序分析 顺序分析

背景情况:

  • 对二进制数据的统计序列分析对于临床试验和许可后药物/疫苗安全监测至关重要.
  • 匹配比率 (z = κ2/κ1) 影响不良事件的比例,在安慰剂控制和自我控制的设计中至关重要.
  • 精确选择z影响样本大小,统计能力和顺序程序的效率.

研究的目的:

  • 在顺序分析中提供一个统计指规则来选择匹配比率 (z).
  • 为优化临床试验和安全监测中的关键设计参数提供指导.
  • 根据精确的计算,促进对z的选择做出明智的决定.

主要方法:

  • 为了确定最佳匹配比率,进行了精确的计算.
  • 在所有计算和示例中使用了R Sequential包.
  • 该研究的重点是临床试验背景下对二进制数据的顺序分析.

主要成果:

  • 这项研究提出了一个统计指规则,用于选择匹配比率 (z).
  • 准确的计算被用来获得选择z的实际建议.
  • 这些发现有助于确定最佳样本大小和提高统计能力.

结论:

  • 选择匹配比率 (z) 是顺序分析中的一个关键设计元素.
  • 这项研究提供了一个数据驱动的经验准则来指导z的选择.
  • 实施这些建议可以提高临床试验设计和安全性研究的效率和可靠性.