Improving Applied Biostatistics Skills for AI/AN Researchers
Improving Applied Biostatistics Skills for AI/AN Researchers
批准号:
10487411
负责人:
JODI A LAPIDUS
金额:
$15.27万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-10 至 2025-07-31
关键词:
AddressBehavioralBenchmarkingBiologicalBiometryBiostatistical MethodsClinicalCommunitiesCompanionsCompetenceComplexDataData AnalysesData ScienceData ScientistData SourcesDevelopmentDistance LearningEducational CurriculumEducational workshopEmployeeEpidemiologyEthicsEtiologyEvaluationFosteringFundingGleanGoalsGrantHealthHealth PrioritiesHealth ProfessionalHealth SciencesHomeIndividualInstitutesInstitutionInvestigationKnowledgeLeadMentorsMentorshipMethodsModernizationNative American Research Center for HealthParticipantPersonsPlayPopulationProcessPublishingResearchResearch PersonnelRoleScheduleScienceScientistStatistical ComputingStrategic PlanningStressStudentsTimeTrainingTraining ProgramsTribesTrustUnited States National Institutes of HealthWorkcareercareer developmentcohortcomplex datacomputer programdata handlingdata visualizationdata wranglingdesignhealth disparityhealth science researchimprovedinsightinterestmeetingsmemberminority scientistnovelpopulation basedpractical applicationprogramsskillssocialsoundtribal communitytribal health
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary: Improving Applied Biostatistics Skills for AI/AN Researchers
The NIH Strategic Plan for Tribal Health Research 2019-2023 outlines priority health research needs for AI/AN
communities, and emphasizes the importance of developing a pipeline of well-trained AI/AN researchers to
address these needs. Individuals skilled in biostatistics and/or data science are essential members of health
research teams, especially given the proliferation of health-related data in recent times. However, there are
few AI/AN with this type of training who are currently contributing to health sciences research. The goal of this
capacity-building grant is to increase the number of tribal researchers and tribal health professionals who can
apply sound biostatistical reasoning, efficiently work with data, and conduct appropriately rigorous analyses, so
that they can further the research efforts in tribal health. To meet this goal, we have designed and will
implement a modern quantitative training curriculum that fosters career development in AI/AN trainees who
aspire to analytically-oriented roles in health sciences research. We will accomplish this via in-person intensive
institutes (1 per year for 2 years), monthly distance learning sessions (monthly for 2 years), and a mentored
capstone project. Throughout the curriculum, we will emphasize practical applications of biostatistics methods,
as well as data handling, data visualization and contemporary data science methods. We will stress strategies
for designing ethical, yet rigorous studies, developing appropriate analysis plans, and clearly communicating
findings to diverse audiences. Graduates of this program will be poised to further their research-related
careers which will contribute towards building a strong, coordinated community of AI/AN health researchers
and expanding scientific knowledge to improve the health of AI/AN communities.
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