Biostatistics & Mathematical Oncology

生物统计学

• 批准号: 10628587
• 负责人: Joycelynne Palmer
• 金额: $ 6.82万
• 依托单位: BECKMAN RESEARCH INSTITUTE/CITY OF HOPE
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-01 至 2027-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10628587
• 关键词: 3-Dimensional; Address; Advanced Malignant Neoplasm; Animal Care and Use Committees; Animals; Applications Grants; Area; Basic Science; Behavioral; Bioinformatics; Biological Assay; Biometry; Cancer Center Support Grant; Cancer Model; Cancer Vaccine Related Development; Cell Therapy; City of Hope Comprehensive Cancer Center; Classification; Clinic; Clinical Investigator; Clinical Trials; Collaborations; Comprehensive Cancer Center; Computational Biology; Consultations; Data; Data Analyses; Development; Disease; Dose; Education; Educational workshop; Ensure; Epidemiologist; Epidemiology; Experimental Designs; Experimental Genetics; Faculty; Familiarity; Fostering; Gene Expression; Genomics; Grant; Hematopoietic Stem Cell Transplantation; Human Genetics; Human Subject Research; IACUC; Immunology; Immunotherapy; Institutional Review Boards; Laboratories; Malignant Neoplasms; Manuscripts; Mathematics; Mentorship; Methodology; Methods; Modality; Modeling; Monitor; Observational Study; Oncology; Population; Population Sciences; Population Study; Preparation; Prevention; Protocols documentation; Publications; Questionnaires; Reporting; Reproducibility; Research; Research Activity; Research Personnel; Research Project Grants; Resource Sharing; Safety; Scientist; Services; Statistical Data Interpretation; Statistical Methods; Survival Analysis; Systems Biology; Taxonomy; Testing; The Cancer Genome Atlas; Toxic effect; Toxicology; Training; Training and Education; Translational Research; Translations; Transplant Recipients; United States National Institutes of Health; Vaccines; Walking; Work; anticancer research; cancer imaging; clinical epidemiology; design; epidemiology study; experience; experimental study; graduate school; graduate student; high throughput analysis; high throughput screening; improved; machine learning model; mathematical methods; mathematical model; member; microbiome; novel; novel therapeutics; organizational structure; precision medicine; preclinical development; preclinical study; programs; public database; research and development; scientific computing; screening; skills; small molecule; statistics; training opportunity; translational study; transplantation medicine; virtual

Abstract Shared Resource 03: Biostatistics & Mathematical Oncology (BMO-SR) The overall objective of the City of Hope Comprehensive Cancer Center (COHCCC) is to foster and integrate cancer research activities, thereby ensuring the successful forward and reverse translation of discoveries across the translational science spectrum, including prevention, control, and population science research. To help fulfill this objective, and maximize the impact of research activities, the Biostatistics and Mathematical Oncology Shared Resource (BMO-SR) works collaboratively with all COHCCC Members to provide essential and continuous biostatistical, mathematical, epidemiological, bioinformatics, and computational biology support, with tailored guidance given to each program/project. Specific Aims of the BMOC-SR: Aim 1. (Design and Analysis): Provide biostatistical, mathematical modeling, and computational biology expertise to enhance research activities. Aim 2. (Consultation/Collaboration (2A) and Training/Service (2B)): Provide consultation, collaboration, training, and regulatory support service to facilitate the advancement of cancer research and novel therapeutics. The BMO-SR, comprised of 25 faculty/staff, provides COHCCC Members (e.g., basic scientists, clinical investigators, behavioral scientists, epidemiologists involved in cancer research) with access to a group of specialized biostatisticians, mathematicians, and computational biologists who collectively possess a diverse set of skills and expertise. Access to and collaborations with BMO-SR faculty are facilitated by: i) BMO-SR alignment with the disease/modality research team organizational structure and ii) educational, training and mentorship activities available to COHCCC Members (e.g., courses, virtual and walk-in BMO-SR clinics, statistical workshops, and seminars). The overall objective of BMO-SR is to ensure that pre-clinical studies, basic science experiments, clinical trials, mathematical/machine learning models, and observational/population studies are: i) designed in an efficient and rigorous manner, ii) that high-quality data are collected, and iii) that unbiased data analysis methods are employed, such that the reported results are valid, robust, and reproducible. Members Utilization by %Revenue 2017–21: 98.3 Total (3.1 MCBC, 13.6 DCT, 27.5 CI, 50.4 HM, 3.7 CCPS) Publications by Members: 178, 37 with Impact Factor >10 Grants Supported: 72 Total (2 ACS, 9 CIRM, 5 DoD, 2 LLS, 41 NCI of 49 NIH (33R01, 1U01))

摘要共享资源03：生物统计学和数学肿瘤学（BMO-SR） 希望之城综合癌症中心（COHCCC）的总体目标是促进和整合 癌症研究活动，从而确保了跨越发现的成功前进和反向翻译 转化科学范围，包括预防，控制和人群科学研究。帮助实现 这个目标，并最大程度地提高研究活动的影响，生物统计学和数学肿瘤学 共享资源（BMO-SR）与所有COHCCC成员合作，提供必需和 连续生物统计，数学，流行病学，生物信息学和计算生物学支持，并具有 为每个程序/项目提供了量身定制的指导。 BMOC-SR的具体目的： 目标1。（设计和分析）：提供生物统计学，数学建模和计算生物学 加强研究活动的专业知识。 目标2。（咨询/协作（2A）和培训/服务（2B））：提供咨询，协作， 培训和监管支持服务，以促进癌症研究的发展 新疗法。 BMO-SR由25名教职员工组成，为COHCCC成员提供（例如，基础科学家，临床 研究人员，行为科学家，参与癌症研究的流行病学家）与一群 专业生物统计学家，数学家和计算生物学家，他们共同拥有多样化的集合 技能和专业知识。与BMO-SR教师的访问和合作由以下方式编写：i）BMO-SR对齐 疾病/方式研究团队组织结构和ii）教育，培训和心态 COHCCC成员可用的活动（例如，课程，虚拟和步入式BMO-SR诊所，统计 讲习班和半座）。 BMO-SR的总体目标是确保临床前研究，基础科学 实验，临床试验，数学/机器学习模型以及观察/人口研究是： i）以有效而严格的方式设计，ii）收集高质量的数据，ii）无偏见的数据 采用分析方法，使得报告的结果是有效，可靠和可重复的。 成员通过％收入2017–21：98.3总数（3.1 MCBC，13.6 DCT，27.5 CI，50.4 HM，3.7 CCP） 成员出版物：178，37具有影响因素> 10 支持的赠款：总计72（2个AC，9 Cirm，5 Dod，2 Lls，41 NCI为49 NIH（33R01，1U01））