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

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

676
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
676
The Nativist Approach01:21

The Nativist Approach

128
The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
128
Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Environmental Influences on Intelligence01:29

Environmental Influences on Intelligence

414
Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
414
Biostatistics: Overview01:20

Biostatistics: Overview

365
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
365
Data Collection by Observations01:08

Data Collection by Observations

12.8K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.8K

You might also read

Related Articles

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

Sort by
Same author

Aging across unequal landscapes in Perú: demographic transition, diverging paths, and policy challenges.

The Gerontologist·2026
Same author

Season of birth in Puerto Rico: Rethinking changes in patterns using 90 years of births occurring under US occupation.

Biodemography and social biology·2025
Same author

Identifying air quality monitoring deserts in the United States.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Kinship Structures for Left Behind Older Adults in High Outmigration Contexts: Evidence From Puerto Rico.

The journals of gerontology. Series B, Psychological sciences and social sciences·2025
Same author

Neighborhood Cohesion and Symptoms of Anxiety Across Racial/Ethnic Groups in the United States.

Journal of community psychology·2025
Same author

Demography as a Field: Where We Came From and Where We Are Headed.

Canadian studies in population·2024

Related Experiment Video

Updated: Sep 11, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.0K

Changes in Census Data Will Affect Our Understanding of Infant Health.

Alexis R Santos-Lozada1

  • 1Pennsylvania State University, University Park, PA, USA.

Socius : Sociological Research for a Dynamic World
|August 12, 2025
PubMed
Summary

A new disclosure avoidance system (DAS) using differential privacy may obscure changes in subpopulation health indicators. Infant mortality rates differ, especially in nonmetropolitan and small populations, hindering health dynamics understanding.

Keywords:
U.S. censusdifferential privacydisclosure avoidanceinfant mortalityvisualization

More Related Videos

A Within-subjects Experimental Protocol to Assess the Effects of Social Input on Infant EEG
08:20

A Within-subjects Experimental Protocol to Assess the Effects of Social Input on Infant EEG

Published on: May 3, 2017

7.9K
Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K

Related Experiment Videos

Last Updated: Sep 11, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

12.0K
A Within-subjects Experimental Protocol to Assess the Effects of Social Input on Infant EEG
08:20

A Within-subjects Experimental Protocol to Assess the Effects of Social Input on Infant EEG

Published on: May 3, 2017

7.9K
Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.2K

Area of Science:

  • Demography
  • Public Health
  • Data Science

Background:

  • Disclosure avoidance systems (DAS) are crucial for protecting sensitive data.
  • Differential privacy is a new method for DAS implementation.
  • Assessing the impact of new DAS on subpopulation health indicators is essential.

Purpose of the Study:

  • To compare infant mortality rates using traditional and new DAS.
  • To evaluate the impact of a proposed DAS on health dynamics.
  • To identify potential disparities caused by the new DAS.

Main Methods:

  • Utilized county-level infant mortality data (2009-2011).
  • Compared rates calculated with traditional DAS and a proposed differential privacy DAS.
  • Employed data from the National Center for Health Statistics and U.S. Census Bureau.

Main Results:

  • Infant mortality rates calculated with the proposed DAS differ from traditional methods.
  • Higher variation in rates was observed for nonmetropolitan counties.
  • Areas with smaller populations showed increased rate variability.

Conclusions:

  • The proposed DAS may hinder understanding of contemporary U.S. health dynamics.
  • The system's impact on subpopulation indicators requires careful consideration.
  • Further research is needed to validate differential privacy DAS in health statistics.