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Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

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 researchers try to extrapolate results...
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who are...
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
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:
Drug Dosing: Obese Patients01:21

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Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

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Related Experiment Video

Updated: Jun 8, 2026

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

Perspective on racial/ethnic birth weight.

David H Crowell1, Raul Rudoy, Claudio R Nigg

  • 1John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA. crowell@hawaii.edu

Hawaii Medical Journal
|September 18, 2010
PubMed
Summary
This summary is machine-generated.

Samoan infants have significantly higher birth weights compared to other racial groups. This study analyzed birth weights across various ethnicities, confirming Samoan maternal and paternal influence on infant size.

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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

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Last Updated: Jun 8, 2026

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

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

Area of Science:

  • Human genetics
  • Anthropology
  • Perinatal research

Background:

  • Birth weight is a critical indicator of infant health and development.
  • Understanding ethnic variations in birth weight is essential for accurate growth assessments.
  • Previous studies suggest potential ethnic differences in intrauterine growth patterns.

Purpose of the Study:

  • To conduct comprehensive birth weight analyses across diverse racial and ethnic groups.
  • To investigate the influence of maternal and paternal ancestry on infant birth weight.
  • To establish a foundation for genetic and phenotypic birth weight modeling.

Main Methods:

  • Analysis of 121,197 birth weight records from single primiparous infants.
  • Inclusion of specific gestational age criteria for data selection.
  • Examination of parental diallelic crosses for intra- and inter-ethnic ancestry.

Main Results:

  • Confirmed that mean birth weight of infants with Samoan maternal parentage is significantly higher.
  • Confirmed that mean birth weight of infants with dual Samoan parentage is significantly higher.
  • Partially supported hypotheses regarding Samoan mothers and non-Samoan fathers, with noted exceptions.

Conclusions:

  • Samoan maternal and dual Samoan parentage are associated with significantly larger mean birth weights.
  • Highlights the importance of controlling for confounding variables in birth weight studies.
  • Emphasizes the value of independent racial-ethnic cohort investigations for accurate insights.