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相关概念视频

Convenience Sampling Method00:55

Convenience Sampling Method

8.8K
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.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Sampling Plans01:23

Sampling Plans

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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...
169
Cluster Sampling Method01:20

Cluster Sampling Method

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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...
11.8K
Systematic Sampling Method01:17

Systematic Sampling Method

10.2K
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...
10.2K
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...
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Censoring Survival Data01:09

Censoring Survival Data

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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相关实验视频

Updated: Jun 14, 2025

Sampling Soils in a Heterogeneous Research Plot
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Sampling Soils in a Heterogeneous Research Plot

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没有替代品的嵌套案例对照采样.

Yei Eun Shin1, Takumi Saegusa2

  • 1Seoul National University, Seoul, Korea. shin.y@snu.ac.kr.

Lifetime data analysis
|September 5, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种修改的嵌套病例控制设计 (NCC) 用于流行病学研究,通过将以前的控制排除在风险集之外来提高效率和减少偏差. 新方法提高了队列研究的统计估计.

关键词:
有条件的逻辑回归.反向的概率权衡方式.嵌套案例 控制设计伪部分概率的可能性.抽样分布 抽样分布

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The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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相关实验视频

Last Updated: Jun 14, 2025

Sampling Soils in a Heterogeneous Research Plot
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The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
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The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan

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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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科学领域:

  • 流行病学 流行病学
  • 生物统计学 生物统计学
  • 健康研究方法 健康研究方法

背景情况:

  • 嵌套病例控制 (NCC) 设计在大型队列研究中提供了成本效益.
  • 与完整的队列研究相比,标准NCC设计面临效率限制.
  • 以前的研究集中在估计方法上,对偏差和效率的设计修改进行了有限的探索.

研究的目的:

  • 引入和评估修改后的NCC设计,该设计将以前选择的控制排除在风险集之外.
  • 提高流行病学研究的效率,减少流行病学研究中的潜在偏见.
  • 扩展现有的估计方法,用于这个修改后的设计.

主要方法:

  • 开发了一个修改后的NCC抽样设计,排除了以前风险集中的控制.
  • 扩展了萨尔森的逆概率权衡方法,用于修改设计.
  • 导出了对比理论和回归系数和累积基线危险的方差估计.

主要成果:

  • 经过修改的NCC设计和拟议的逆概率权重估计器显示了比标准设计更好的效率.
  • 模拟研究证实了有限样本对差异估计的良好性能.
  • 拟议的方法考虑了修改的采样设计的复杂特征.

结论:

  • 经过修改的NCC设计,加上扩展的逆概率权重估计器,为流行病学研究提供了更高效,更少偏见的方法.
  • 该方法为关键流行病学参数提供了可靠的差异估计.
  • 这些发现是使用NIH-AARP饮食和健康队列研究的数据来验证的.