Biostatistics Shared Resource

生物统计共享资源

• 批准号: 10693232
• 负责人: CHUL W AHN
• 金额: $ 23.5万
• 依托单位: UT SOUTHWESTERN MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10693232
• 关键词: Award; Basic Science; Biological Markers; Biometry; Biostatistics Shared Resource; Biotechnology; Cancer Center Support Grant; Cancer Research Project; Clinical; Clinical Oncology; Clinical Research; Clinical Sciences; Clinical Trials; Collaborations; Complex; Comprehensive Cancer Center; Computer Hardware; Computer software; Consultations; Data; Data Analyses; Data Science; Databases; Development; Doctor of Philosophy; Education; Educational workshop; Electronic Health Record; Ensure; Epidemiology; Extramural Activities; Faculty; Funding; Genetic; Goals; Grant; Institution; International; Investigation; Journals; Malignant Neoplasms; Manuscripts; Medical center; Methodology; Methods; Monitor; NCI Center for Cancer Research; Nature; Oncology; Peer Review; Play; Population; Population Sciences; Population Study; Postdoctoral Fellow; Productivity; Protocols documentation; Publications; Publishing; Quality Control; Reproducibility; Research; Research Design; Research Personnel; Resource Sharing; Resources; Role; Safety; Screening for cancer; Services; Statistical Methods; Therapeutic Agents; Therapeutic procedure; Training and Education; Translational Research; Work; Writing; anticancer research; cancer clinical trial; data management; data quality; design; experimental study; innovation; insight; investigator-initiated trial; lectures; member; method development; multidimensional data; novel therapeutics; population based; pre-doctoral; programs; quality assurance; randomized trial; recruit; statistical service; success; tool; translational pipeline; trial design

The Biostatistics Shared Resource (BSR) is a centralized resource that provides state-of-the-art biostatistical support for investigators conducting cancer research at Simmons Comprehensive Cancer Center (SCCC). Advances in biotechnologies and computing hardware/software have greatly increased the need for sophisticated statistical methodologies, and biostatistics is an essential component in ensuring high-quality cancer research, particularly in clinical and translational research. BSR biostatisticians play important integrated roles in each of the SCCC Research Programs. The formats of these productive collaborations include pre- award project and clinical trial development as well as post-award, project-oriented statistical services. SCCC research covers the full spectrum of the translational pipeline, ranging from basic science experiments, biomarker studies, investigator-initiated clinical trials of novel therapeutic agents and procedures, to population- based studies. The BSR faculty also offers workshops, office consultations, seminars, and courses on study design, analysis methods, and software implementation to fellows, research staff, and faculty. The BSR is led by Chul Ahn, PhD, a distinguished biostatistician with a national and international reputation for his statistical designs and analyses of cancer research and cancer clinical trials. BSR biostatisticians are also key contributing members of SCCC’s Protocol Review and Monitoring Committee (PRMC) and Data and Safety Monitoring Committee (DSMC), providing valuable independent statistical input. The BSR currently consists of efforts from five faculty biostatisticians and three analysts, providing all levels of biostatistics support. The services of the BSR were utilized by 178 members across five SCCC research programs from 2014-2019 and provided key data and insights to support the success of 68 new cancer-related extramurally funded grants, 96 cancer clinical trials, and 267 peer-reviewed publications, including work published in top tier journals such as JAMA, Journal of Clinical Oncology, JAMA Oncology, Lancet Oncology, Cancer Discovery, Cancer, Nature Genetics, and Nature. Goals for the next funding period include recruiting additional biostatisticians to strengthen expertise in adaptive trial design.

生物统计学共享资源（BSR）是一个集中的资源，提供最先进的生物统计学