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Related Concept Videos

Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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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...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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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...
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Harnessing huge data from pregnancy natural experiments.

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  • 1Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA.

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This summary is machine-generated.

Vast, open datasets are crucial for advancing the understanding of pregnancy physiology and women's health. These resources are essential for developing new predictive models and improving healthcare insights.

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Area of Science:

  • Reproductive Medicine
  • Women's Health
  • Data Science

Background:

  • Understanding pregnancy physiology is complex.
  • Women's health research requires extensive data.
  • Current data resources may be limited.

Purpose of the Study:

  • To highlight the importance of large-scale datasets.
  • To emphasize the role of data in women's health research.
  • To advocate for open data practices in obstetrics and gynecology.

Main Methods:

  • Cross-sectional data collection.
  • Development of open-access data repositories.
  • Utilizing large datasets for analysis.

Main Results:

  • Vast datasets enable comprehensive understanding of pregnancy.
  • Open data accelerates research and model development.
  • Cross-sectional data provides broad insights into women's health.

Conclusions:

  • Large, open, cross-sectional datasets are indispensable.
  • These datasets are foundational for advancing women's health.
  • Data accessibility is key for future medical research and innovation.