Biometrics

生物识别技术

• 批准号: 10112860
• 负责人: Shou-En Lu
• 金额: $ 13.64万
• 依托单位: RBHS -CANCER INSTITUTE OF NEW JERSEY
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10112860
• 关键词: Adopted; Applications Grants; Area; Awareness; Basic Science; Biological Markers; Biometry; Biostatistical Methods; Cancer Center; Cancer Center Support Grant; Cancer Institute of New Jersey; Clinical Research; Clinical Sciences; Clinical Trials; Computer Analysis; Consultations; Data Analyses; Databases; Decision Making; Development; Dose; Education; Educational workshop; Elements; Ensure; Evaluation; Future; Genotype; Grant; Laboratory Research; Leadership; Malignant Neoplasms; Medicare; Methodology; Methods; Modernization; Monitor; Outcome; Patients; Pharmaceutical Preparations; Population Database; Population Research; Population Sciences; Population Study; Publications; Randomized; Randomized Clinical Trials; Reporting; Research; Research Design; Research Personnel; Research Support; Resource Sharing; Sampling; Services; Statistical Data Interpretation; Time; Training; Training Activity; Writing; administrative database; analytical method; clinical trial analysis; cost effective; design; effectiveness research; experimental study; improved; interest; laboratory experiment; member; mouse model; phase 1 designs; phase I trial; precision medicine; preservation; statistics

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.

生物识别共享资源 项目摘要/摘要 新泽西州罗格斯癌症研究所(CINJ)的生物识别共享资源是一个癌症中心 受管共享资源，其目的是在以下领域向CINJ成员提供统计支持 基础、临床和人口研究。 基础、临床和人口科学领域的大多数CINJ成员需要更多的生物统计学专业知识 在他们的科学训练领域内获得的。Biometrics共享资源(Biometrics)可确保 CINJ研究的科学严谨性得到了出色的、集中的和具有成本效益的生物统计学支持。 在施伟中(Joe)博士的领导下，生物识别支持设计、实施、分析和 实验室、临床和人口研究报告。生物识别致力于提高效率 以及在短时间内回答实验和观察问题的研究的有效性 可能用最少的受试者或样本来提高科学效率，同时保持 适当的误码率和功率。