相关实验视频

Updated: Jul 13, 2025

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

11.9K

出生在布拉德福德的更好的开始 (BiBBS) 干预分娩队列研究:临时队列资料

Josie Dickerson1, Sally Bridges1, Kathryn Willan1

  • 1Born in Bradford, Bradford Teaching Hospitals National Health Service Foundation Trust, Bradford, BD9 6RJ, UK.

Wellcome open research
|October 13, 2023
PubMed
概括

布拉德福德出生的更好的开始 (BiBBS) 研究成功招募了多样化的家庭,证明了评估早期生活计划的干预队列的可行性. 干预措施的高采用率显示了这一创新研究方法的前景.

关键词:
干预性队列是干预性的队列.出生的队列队列出生.剥夺是一种剥夺.早期干预措施 早期干预措施少数民族民族的少数民族.实用性随机对照试验是实用性的随机对照试验.准实验性的设计.在队列中的试验.

更多相关视频

Profiling Maternal Behavior Responses During Whole-Brain Imaging07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

780
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

86.0K

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:  
316
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
171
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...
172
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
593
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
238
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
191