相关实验视频

Updated: Jan 18, 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

12.5K

围产期死亡率和相关因素的种族差异:全国范围的队列研究

Laura Robinson1, Keelin O'Donoghue1,2, Sara Leitao1,3

  • 1Pregnancy Loss Research Group, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland.

BJOG : an international journal of obstetrics and gynaecology
|September 12, 2025
PubMed
概括

爱尔兰的少数民族 (MEG) 面临更高的产前死亡率 (PM),原因包括就业,平等和有限的产前护理. 解决这些差异需要提高孕产妇健康素养和具有文化能力的护理.

关键词:
早期的新生儿死亡孕产妇生育 孕产妇生育 孕产妇生育少数民族民族群体的少数民族群体.产前死亡率 产前死亡率一个死产的死产.

更多相关视频

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice04:18

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice

Published on: October 10, 2025

362
Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes03:19

Author Spotlight: Studying the Impact of Maternal Dietary Deficiencies on Long-Term Offspring Health Outcomes

Published on: June 28, 2024

724

相关概念视频

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:  
1.3K
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...
6.9K
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...
586
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
900