Related Experiment Video

Updated: Apr 18, 2026

Moderate Prenatal Alcohol Exposure and Quantification of Social Behavior in Adult Rats
11:01

Moderate Prenatal Alcohol Exposure and Quantification of Social Behavior in Adult Rats

Published on: December 14, 2014

10.4K

A statistical framework for testing the causal effects of fetal drive.

Nianjun Liu1, Edward Archer2, Vinodh Srinivasasainagendra1

  • 1Department of Biostatistics, School of Public Health, University of Alabama at Birmingham Birmingham, AL, USA.

Frontiers in Genetics
|January 29, 2015
PubMed
Summary

Fetal genes can influence maternal health, impacting both mother and child. This study introduces a new statistical method to test how fetal genetics affect maternal physiology and long-term health outcomes.

Keywords:
causal inferencefetal effectsgeneticshumanintrauterine environmentstatistics

More Related Videos

Construction of Vapor Chambers Used to Expose Mice to Alcohol During the Equivalent of all Three Trimesters of Human Development15:27

Construction of Vapor Chambers Used to Expose Mice to Alcohol During the Equivalent of all Three Trimesters of Human Development

Published on: July 13, 2014

15.3K
The Use of Trace Eyeblink Classical Conditioning to Assess Hippocampal Dysfunction in a Rat Model of Fetal Alcohol Spectrum Disorders19:57

The Use of Trace Eyeblink Classical Conditioning to Assess Hippocampal Dysfunction in a Rat Model of Fetal Alcohol Spectrum Disorders

Published on: August 5, 2017

9.0K

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)...
8.4K
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
3.2K
Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.8K
Teratogenicity01:07

Teratogenicity

The ability of a drug to produce structural deformations and functional abnormalities in the developing embryo or the fetus is called teratogenicity, and the drug producing this effect is known as a teratogen. Teratogenic effects include stillbirth, miscarriage, intrauterine growth restriction, and neurocognitive delay. A teratogen may affect the embryo at different stages of development, which is important in determining the type and extent of the damage. During blastocyst formation, the early...
4.6K