Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Stratified Sampling Method01:16

Stratified Sampling Method

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...
Sampling Plans01:23

Sampling Plans

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...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
Convenience Sampling Method00:55

Convenience Sampling Method

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...
Systematic Sampling Method01:17

Systematic Sampling Method

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...
Cluster Sampling Method01:20

Cluster Sampling Method

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association between physical activity and cancer risk among Chinese adults: a 10-year prospective study.

The international journal of behavioral nutrition and physical activity·2022
Same author

Cooking and future risk of all-cause and cardiopulmonary mortality.

Nature human behaviour·2022
Same author

Association between pneumonia hospitalisation and long-term risk of cardiovascular disease in Chinese adults: A prospective cohort study.

EClinicalMedicine·2022
Same author

Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study.

The Lancet. Public health·2022
Same author

MicroRNA profiling of different exercise interventions for alleviating skeletal muscle atrophy in naturally aging rats.

Journal of cachexia, sarcopenia and muscle·2022
Same author

Effectiveness of Multidomain Dormitory Environment and Roommate Intervention for Improving Sleep Quality of Medical College Students: A Cluster Randomised Controlled Trial in China.

International journal of environmental research and public health·2022
Same journal

[Research progress on the impact of the digital information environment on the health of children and adolescents].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Exploration and practice of ideological and political education integration in the "One Core, Two Integrations" curriculum model for epidemiology].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Progress in research of visualization of ideology and politics elements in curriculum and its importance for <i>Epidemiology</i> curriculum].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Operation of WeChat official accounts of <i>Chinese Journal of Epidemiology</i>].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Study on the risk factors of development for mild cognitive impairment to Alzheimer's disease based on the competitive risk joint model].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same journal

[Mendelian randomization study on related factors for esophageal adenocarcinoma and Barrett's esophagus].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
See all related articles

Related Experiment Videos

[Data analysis from surveys using complex sampling methods].

Jun Lv1, Ping-ping He, Li-ming Li

  • 1Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|December 24, 2008
PubMed
Summary
This summary is machine-generated.

Accurate hypertension prevalence estimates require proper statistical analysis of complex survey data. Ignoring survey weights or sample designs leads to biased results and inaccurate standard errors, impacting health conclusions.

Related Experiment Videos

Area of Science:

  • Epidemiology
  • Biostatistics

Context:

  • Complex survey data analysis is crucial for public health research.
  • The Chinese National Nutrition and Health Survey (2002) provides a large dataset for epidemiological studies.
  • Understanding hypertension prevalence requires accounting for survey design complexities.

Purpose:

  • To demonstrate appropriate statistical methods for analyzing complex survey data.
  • To highlight the impact of ignoring survey weights and sample designs on hypertension prevalence estimates.
  • To analyze hypertension prevalence in China using the 2002 survey data.

Summary:

  • Analysis using appropriate weighting and sample design considerations revealed significant variations in hypertension prevalence across different regions in China.
  • Hypertension prevalence was highest in large cities (28.77%) and lowest in the poorest rural areas (14.21%).
  • Omitting weights or sample designs led to biased prevalence estimates and underestimated standard errors, potentially leading to false positive findings.

Impact:

  • Emphasizes the necessity of employing correct statistical methodologies for complex survey data to ensure reliable public health insights.
  • Provides accurate hypertension prevalence data stratified by urban and rural settings in China.
  • Guides researchers in avoiding common statistical pitfalls in survey data analysis, improving the validity of epidemiological findings.