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

Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
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...
12.0K
Sampling Plans01:23

Sampling Plans

217
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...
217
Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
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. 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.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K
Random Sampling Method01:09

Random Sampling Method

11.2K
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. Among the various sampling methods used by...
11.2K
Systematic Sampling Method01:17

Systematic Sampling Method

10.4K
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...
10.4K
Sampling Methods: Overview01:06

Sampling Methods: Overview

387
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
387

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

WHO online guide on the use of digital technologies for tuberculosis programmes.

The European respiratory journal·2025
Same author

Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School.

Multivariate behavioral research·2024
Same author

Which support is provided in which country? Patterns among older adults in Europe.

European journal of ageing·2024
Same author

Tobacco smoking clusters in households affected by tuberculosis in an individual participant data meta-analysis of national tuberculosis prevalence surveys: Time for household-wide interventions?

PLOS global public health·2024
Same author

Ordinal Conditional Entropy Displays Reveal Intrinsic Characteristics of the Rosenberg Self-Esteem Scale.

Entropy (Basel, Switzerland)·2023
Same author

Association of diabetes, smoking, and alcohol use with subclinical-to-symptomatic spectrum of tuberculosis in 16 countries: an individual participant data meta-analysis of national tuberculosis prevalence surveys.

EClinicalMedicine·2023

相关实验视频

Updated: Jul 25, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K

序列适应性策略用于抽样罕见的集群种群.

Fulvia Mecatti1, Charalambos Sismanidis2, Emanuela Furfaro3

  • 1University of Milano-Bicocca, U7 Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy.

Statistical methods & applications
|June 26, 2023
PubMed
概括

新的适应性采样策略通过利用空间聚类来改善人口调查中的罕见病检测. 这些方法为物流和预算提供了灵活性,在结核病流行研究中表现优于传统设计.

关键词:
异位学是指异位学是指异位学.预算和后勤方面的限制.有信息的设计设计.集群内部变化的变化.过量采样 过量采样采集鱼类样本的方法伪霍维茨 - 普森估计器

更多相关视频

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.6K
A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals
07:40

A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals

Published on: March 13, 2011

20.9K

相关实验视频

Last Updated: Jul 25, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

15.3K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.6K
A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals
07:40

A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals

Published on: March 13, 2011

20.9K

科学领域:

  • 统计 统计 统计 统计
  • 流行病学 流行病学
  • 调查方法 调查方法

背景情况:

  • 基于人口的调查经常面临挑战,因为不均的空间分布,检测罕见的特征.
  • 现有的抽样设计可能无法充分解决后勤和预算限制,或利用空间聚类提高效率.

研究的目的:

  • 提出一种新的适应性,顺序采样策略类型,用于对具有空间异质性的罕见特征的调查.
  • 开发公正的估计器和权重系统,以考虑选择偏差.
  • 评估这些策略的表现,特别是在结核病流行率调查的背景下.

主要方法:

  • 将适应性组件集成到顺序选择中,以加强检测阳性病例.
  • 开发一类不偏见的估计器,包括差异估计,以及一个准备实施的权重系统.
  • 使用结核病流行调查进行应用和模拟研究,与传统的横截面采样进行比较.

主要成果:

  • 提出的顺序适应性采样策略显示了提高效率和量身定制的数据收集能力.
  • 开发的估计器被证明是对人口平均值 (流行率) 无偏见的,并提供了无偏见的差异估计.
  • 模拟结果突出了适应性策略在结核病流行调查中的优势,而不是传统方法.

结论:

  • 拟议的适应性采样策略提供了一个灵活和高效的框架,用于测量罕见的,空间聚集的特征.
  • 这些方法提供了强大的估计技术来管理选择偏差和后勤挑战.
  • 这些发现支持采用改进的采样设计,例如结核病流行率调查,超过当前世界卫生组织的指导方针.