Related Experiment Video

Updated: Nov 6, 2025

Author Spotlight: Understanding Adolescent Social Adversity Effects on Neurodevelopment in Mice
07:15

Author Spotlight: Understanding Adolescent Social Adversity Effects on Neurodevelopment in Mice

Published on: March 15, 2024

2.0K

The Cross-national Association of Gun Ownership Rates and Suicide Rates: An Analysis of 194 Nations

Gary Kleck

    Archives of Suicide Research : Official Journal of the International Academy for Suicide Research
    |May 12, 2021
    PubMed
    Abstract

    Keywords:
    Cross-nationalgun ownershipsuicide rates

    More Related Videos

    Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study07:30

    Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

    Published on: August 18, 2020

    7.0K
    Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study07:50

    Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

    Published on: April 18, 2025

    552

    Related Concept Videos

    Hypothesis Test for Test of Independence01:16

    Hypothesis Test for Test of Independence

    The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
    H0: The two variables (factors)...
    5.6K
    Correlations02:20

    Correlations

    Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
    34.8K
    Cause and Effect01:53

    Cause and Effect

    While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
    11.6K
    Genome-wide Association Studies-GWAS01:11

    Genome-wide Association Studies-GWAS

    Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
    GWAS does not require the identification of the target gene involved in...
    14.8K
    Comparing the Survival Analysis of Two or More Groups01:20

    Comparing the Survival Analysis of Two or More Groups

    Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
    376
    Longitudinal Research02:20

    Longitudinal Research

    Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
    12.8K