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Updated: Jan 16, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

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刺激培训和获取艾滋病毒研究经验 (STAR计划):一个采用混合方法设计的众包,基于项目,实施科学培训计划的协议

Juliet Iwelunmor1, Idia Thurston2, Collins Airhihenbuwa3

  • 1Division of Infectious Diseases, John T. Milliken Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.

Frontiers in public health
|September 29, 2025
PubMed
概括

该STAR计划培训少数民族青少年和年轻人 (AYA) 在艾滋病毒研究中,赋予他们领导预防服务设计和评估的权力. 这个倡议为美国的青年和机构建立了关键的研究能力.

关键词:
艾滋病病毒 艾滋病病毒 艾滋病病毒艾滋病毒研究培训 HIV研究培训众包 (crowdsourcing) 是一种众包方式.实施科学 实施科学基于项目的学习项目.年轻的成年人年轻的成年人年轻人年轻人年轻人年轻人年轻人年轻人

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Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
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Experimental Designs01:16

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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