The Applied Statistics in Biological Systems (ASIBS) Short Course
The Applied Statistics in Biological Systems (ASIBS) Short Course
批准号:
8853106
负责人:
Emilia Bagiella
金额:
$17.58万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-05-01 至 2020-03-31
关键词:
Academic Medical CentersAreaAttitudeBehavioral ResearchBiologicalBiometryClinicClinicalClinical InvestigatorClinical ResearchCollaborationsCommunitiesComplementComplexComprehensionCritical ThinkingCross-Sectional StudiesDataData AnalysesDatabasesDistance LearningEducational CurriculumEducational process of instructingElementsEnsureEnvironmentEthnic groupExerciseFacultyFamiliarityFoundationsFutureGatekeepingGoalsHandHourInstitutionInstructionInternetKnowledgeLeadershipLinear RegressionsLiteratureLogistic RegressionsLogisticsMaster of ScienceMedicalMedical StudentsMedicineMethodsMissionModificationNational Institute of General Medical SciencesParticipantPatientsPersonsPhaseProbabilityProblem SolvingProductivityPublishingRecruitment ActivityRegistriesResearchResearch DesignResearch PersonnelResearch Project GrantsResourcesRespondentSamplingSeriesSolutionsStatistical ComputingTrainingUnderrepresented MinorityUnited Statesbasebiological systemscare deliverycareercollegecomputerized toolsgraduate medical educationgrasplecturesmedical schoolsmemberoperationpreventprogramspublic health relevanceracial and ethnicresponseskillssocialstatisticstheoriestool
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): As clinical researchers at academic medical institutions across the United States increasingly become the gatekeepers of substantially complex patient databases and registries, they often lack the statistical expertise needed to utilize these data for research as well as clinical purposes. Not only does a lack of statistical knowledge prevent clinical researchers from correctly analyzing data from their own research projects, but this inadequacy can also inhibit their ability to accurately interpret published statistical findings in the medical literature.
In response to PA11351, (R25), we propose to establish the Applied Statistical Independence in Biological Systems (ASIBS) Short Course to provide members of the academic medical community nationwide with the opportunity to increase their methodological capacity through short, yet rigorous, statistical training. Specifically we propose to accomplish the following specific aims:
1. Develop and implement the ASIBS Short Course for faculty and fellows from academic medical centers nationwide using a series of synchronous and asynchronous internet based lectures and a five day in person SAS lectures and applications.
2. Establish a Diversity Recruitment Advisory Board to ensure that the most effective strategies are employed to recruit underrepresented minority faculty and fellows from academic medical institutions into the ASIBS Short Course.
3. Enhance the dissemination phase of the ASIBS Short Course by packaging and uploading the
asynchronous lectures and online critical thinking/problem solving assessments for free on commonly used online teaching resources, including MOOC, Coursera, and YouTube platforms.
4. Implement methods to evaluate the efficacy of the ASIBS Short Course by examining 1) the competencies and skills gained by the ASIBS Short Course participants, 2) the clarity and quality of the curriculum, 3) program logistics and operations, and 4) both the short term and long term applications of the ASIBS Short Course.
The ASIBS Short Course will provide participants with a much needed foundation in applied statistical theory and statistical computing to answer important questions related to biological, social, and behavioral research.
We believe that the ASIBS Short Course supports the mission of the National Institute of General Medical Sciences by enhancing the research capacity, thus increasing the productivity, of current and future leaders in academic medical environments.
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