Related Experiment Video

Updated: Aug 25, 2025

Experimental Paradigm for Measuring the Effects of Self-distancing in Young Children
07:01

Experimental Paradigm for Measuring the Effects of Self-distancing in Young Children

Published on: March 1, 2019

8.0K

The COVID-19 pandemic and vaccination abandonment in children: spatial heterogeneity maps

Rayssa Nogueira Rodrigues1, Gabriela Lourença Martins do Nascimento2, Luiz Henrique Arroyo3

  • 1Universidade Federal de Viçosa, Departamento de Medicina e Enfermagem, Viçosa, MG, Brazil.

Revista Latino-Americana De Enfermagem
|October 13, 2022
PubMed
Abstract

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K
Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector08:10

Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector

Published on: November 28, 2018

8.7K

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
45.2K
Contingency Table01:29

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.6K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:  
525
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
236
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
686
Pareto Chart00:52

Pareto Chart

A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
6.9K