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相关概念视频

Sample Size Calculation01:19

Sample Size Calculation

6.4K
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...
6.4K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.9K
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...
3.9K
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

6.6K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
6.6K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.0K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.0K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.3K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.3K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

7.2K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
7.2K

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相关实验视频

Updated: Jan 16, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

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基于两个样本的投影测试的功率和样本大小计算,用于稀少观察到的功能数据.

Salil Koner1, Sheng Luo1

  • 1Department of Biostatistics and Bioinformatics, Duke University, North Carolina, USA.

Stat
|January 15, 2026
PubMed
概括
此摘要是机器生成的。

本研究引入了一套功率和样本大小 (PASS) 工具包,用于基于投影的功能数据测试,以增强临床试验设计. 该方法对缺失的数据具有稳定性,对于帕金森病研究具有价值.

关键词:
在Azilect的试验中,Azilect进行了试验.假设测试 测试 假设测试纵向数据 纵向数据 纵向数据斯帕尔斯功能数据 功能数据

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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

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相关实验视频

Last Updated: Jan 16, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization
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Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

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科学领域:

  • 统计 统计 统计 统计
  • 生物统计学 生物统计学
  • 功能数据分析 功能数据分析

背景情况:

  • 基于投影的测试有效地分析功能数据中的平均轨迹差异.
  • 现有的方法可能缺乏对复杂数据结构的综合功率和样本大小计算.

研究的目的:

  • 为了推导基于投影的测试的理论功率函数.
  • 为此方法引入功率和样本大小 (PASS) 计算工具包.
  • 评估该方法在临床试验设计中的稳定性和实际实用性.

主要方法:

  • 理论功率函数的推导用于基于投影的测试.
  • 开发一个全面的PASS工具包.
  • 数字模拟用于评估缺少数据的统计能力和稳定性.
  • 适用于帕金森病的随机对照试验.

主要成果:

  • 衍生功率函数和PASS工具包适应多种群体差异和共变性结构.
  • 基于投影的测试方法表现出稳定性,即使在缺失观察 ("缺失免疫") 的情况下也保持了统计能力.
  • 通过对帕金森病临床试验的分析来证实实用的实用性.

结论:

  • 开发的PASS工具包显著提高了基于投影的测试的可用性.
  • 该方法的稳定性和缺失的免疫性质使其适合临床试验设计.
  • 该R包fPASS促进了在生物和临床研究中的实际实施.