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

Design Consideration01:22

Design Consideration

181
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
181
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Ethical Issues01:27

Ethical Issues

870
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
870
Diffusion01:21

Diffusion

4.0K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
4.0K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Critical Thinking I01:24

Critical Thinking I

3.2K
Critical thinking helps decision-making and allows nurses to recognize barriers to success and find solutions to possible issues. It helps to brainstorm and implement ideas to achieve goals. Critical thinking helps acknowledge and state workflow inefficiencies while improving management techniques. Nurses understand the value of critical thinking and look for fellow nurses with critical thinking skills to upgrade their professional standards. Critical thinking can advance a nurse's career...
3.2K

You might also read

Related Articles

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

Sort by
Same author

Functional Characterization of a Putative Sortase FA1364 in <i>Filifactor alocis</i>.

International journal of molecular sciences·2026
Same author

Fresh aboveground net primary productivity of Tibetan grasslands: Responses of different plant functional groups to climate change and human activities and implications for ecosystem management.

PloS one·2026
Same author

Ferroelectric-Tunable Quantum Nonlinearity of Chiral Bloch Electrons in a Moiré System.

Nano letters·2026
Same author

Global-focal adaptation with information separation for noise-robust transfer fault diagnosis.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Depth-resolved phase velocity estimation in layered tissue based on an efficient additive attention network with surface acoustic wave - optical coherence elastography.

Biomedical optics express·2026
Same author

A novel flexible composite polymer electrolyte with robust interfaces and synergistic ion channels for solid-state sodium metal batteries.

Journal of colloid and interface science·2026
Same journal

Mental Health Treatment Among Adults: United States, 2024.

NCHS data brief·2026
Same journal

Parkinson Disease Mortality Among Adults Age 65 and Older: United States, 2024.

NCHS data brief·2026
Same journal

Dietary Supplement Use: United States, August 2021-August 2023.

NCHS data brief·2026
Same journal

Urgent Care Center and Retail Health Clinic Use: United States, 2024.

NCHS data brief·2026
Same journal

Birth Expectations of Women Ages 20-49: United States, 2022-2023.

NCHS data brief·2026
Same journal

Short Sleep Duration and Sleep Difficulties Among Adults: United States, 2024.

NCHS data brief·2026
See all related articles

Related Experiment Videos

Discussion.

Guangyu Zhang, Yulei He, Anna Oganian

    NCHS Data Brief
    |June 10, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Creating synthetic data for complex surveys is challenging. Incorporating survey design information improved data utility, with nonparametric methods offering better utility but slightly higher disclosure risk.

    Related Experiment Videos

    Area of Science:

    • Statistics
    • Data Science
    • Survey Methodology

    Background:

    • Synthetic data generation is increasingly popular for balancing data utility and confidentiality.
    • Challenges persist in creating synthetic data for complex survey designs.

    Purpose of the Study:

    • To compare methods for incorporating survey design information into synthetic data generation.
    • To evaluate the impact on data utility and disclosure risk.

    Main Methods:

    • Utilized the Research and Development Survey (RANDS) data.
    • Compared parametric (regression) and nonparametric (CART) methods.
    • Incorporated stratification, clustering, and sampling weights into the synthesis process.
    • Assessed data utility and disclosure risk using statistical measures.

    Main Results:

    • Parametric methods showed improved data utility when survey design information was used as predictors.
    • Nonparametric methods (CART) achieved superior data utility.
    • Nonparametric methods presented a slightly increased disclosure risk compared to parametric methods.

    Conclusions:

    • Survey design information is crucial for enhancing synthetic data utility.
    • A trade-off exists between data utility and disclosure risk, particularly with nonparametric methods.