Biometrics
Biometrics
批准号:
10112860
负责人:
Shou-En Lu
金额:
$13.64万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-03-01 至 2024-02-29
关键词:
AdoptedApplications GrantsAreaAwarenessBasic ScienceBiological MarkersBiometryBiostatistical MethodsCancer CenterCancer Center Support GrantCancer Institute of New JerseyClinical ResearchClinical SciencesClinical TrialsComputer AnalysisConsultationsData AnalysesDatabasesDecision MakingDevelopmentDoseEducationEducational workshopElementsEnsureEvaluationFutureGenotypeGrantLaboratory ResearchLeadershipMalignant NeoplasmsMedicareMethodologyMethodsModernizationMonitorOutcomePatientsPharmaceutical PreparationsPopulation DatabasePopulation ResearchPopulation SciencesPopulation StudyPublicationsRandomizedRandomized Clinical TrialsReportingResearchResearch DesignResearch PersonnelResearch SupportResource SharingSamplingServicesStatistical Data InterpretationTimeTrainingTraining ActivityWritingadministrative databaseanalytical methodclinical trial analysiscost effectivedesigneffectiveness researchexperimental studyimprovedinterestlaboratory experimentmembermouse modelphase 1 designsphase I trialprecision medicinepreservationstatistics
中文摘要
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英文摘要
BIOMETRICS SHARED RESOURCE
PROJECT SUMMARY/ABSTRACT
The Biometrics shared resource of the Rutgers Cancer Institute of New Jersey (CINJ) is a Cancer Center
managed shared resource whose purpose is to provide statistical support for CINJ members in the areas of
basic, clinical, and population research.
Most CINJ members in the basic, clinical and population sciences require biostatistical expertise beyond that
acquired within their field of scientific training. The Biometrics shared resource (Biometrics) ensures that the
scientific rigor of CINJ studies is supported by outstanding, centralized and cost-effective biostatistical support.
Under the leadership of Dr. Weichung (Joe) Shih, Biometrics supports the design, conduct, analysis, and
reporting of laboratory, clinical and population research. Biometrics is committed to improving the efficiency
and effectiveness of research that answers experimental and observational questions in as short a time as
possible with the least number of subjects or samples to improve scientific efficiency, while preserving an
appropriate error rate and power.
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会议论文
Translating Research Into Action for Diabetes (TRIAD) Legacy Study - Collaboratin
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批准号:8298938
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项目类别:
-
资助金额:$2.0万
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财政年份:2010
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负责人:Shou-En Lu
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依托单位: