Training Program in Biostatistics for Cancer Research

项目摘要/摘要 这项申请是为了继续生物统计学方面的培训计划，重点是癌症研究。 这笔钱每年资助三名研究生和两名博士后研究人员。大数据的爆炸性增长 在生物医学研究中，特别是癌症，带来了提取信息的新挑战和新机遇 从这些数据中了解早期发现、预防和精确治疗策略的新方法 治疗癌症。竞争日益激烈的药物开发世界也需要更有效的临床 试验设计以收集有关新疗法的有效性和安全性概况的信息。这些挑战带来了 量化科学家，特别是生物统计学家，走在癌症研究的前沿，开发高效、稳健、 以及用于分析复杂生物医学数据和适应性临床试验设计的可重复方法。 多学科研究团队是现代癌症研究的核心，需要沟通和 相互理解才能成功。有效的生物统计合作需要广泛的统计学培训， 概率、计算以及癌症生物学、医学伦理学，以及与合作者的有效沟通。 莱斯大学统计系、生物统计系和 德克萨斯大学安德森癌症中心生物信息学和计算生物学 (UTMDACC)已经与他们在临床、基础和人口科学方面的合作者联手 制定独特的培训计划，结合各自的优势对癌症生物统计学家进行培训 研究。该培训计划的目标是培养新一代生物统计学家，他们将 在现代癌症研究中与生物医学研究人员并肩工作。我们的计划旨在为学员提供 具有：(1)严格的统计学和概率培训(2)基础和临床癌症的实践经验 研究(2)癌症生物学方面的培训、医学研究道德和有效沟通。 该项目的博士前实习生遵循莱斯大学统计学学生的标准博士生课程， 生物统计学、生物学、伦理学和传播学方面的额外课程，以及专门的研讨会和 在这两个机构的讲习班，以及暑期实习和实验室轮换的实践经验。 博士后实习生有机会获得相同的课程和实践经验，此外还将获得- 他们在培训期间的写作经验。拥有贝叶斯方法、决策理论、癌症等方面的专业知识 临床试验、癌症筛查、生存分析、统计遗传学、基因组学、生物信息学和统计学 通过计算，学员将获得现代癌症研究的生物统计学方面的广泛背景，并将得到改进 严格的招生、评估和发展程序，以确保成功培养研究人员。

Project Summary/Abstract This application is for continuation of a training program in biostatistics with a specific focus on cancer research that supports three graduate students and two postdoctoral researchers each year. The explosion of big data in biomedical research, especially cancer, has led to new challenges and opportunities to extract information from these data to inform novel approaches for early detection, prevention, and precision therapy strategies to treat cancer. The increasingly competitive world of drug development also necessitates more efficient clinical trial designs to gather information on new treatments’ efficacy and safety profiles. These challenges bring quantitative scientists, especially biostatisticians, to the forefront of cancer research to develop efficient, robust, and reproducible methods for analyzing complex biomedical data and adaptive clinical trial designs. Multidisciplinary research teams are at the heart of modern cancer research, requiring communication and mutual understanding for success. Effective biostatistical collaboration requires broad training in statistics, probability, computing, as well as cancer biology, medical ethics, and effective communication to collaborators. The Department of Statistics, Rice University, and the Department of Biostatistics and Department of Bioinformatics and Computational Biology at the University of Texas M. D. Anderson Cancer Center (UTMDACC) have joined forces with their collaborators in the clinical, basic, and population sciences to develop a unique training program that combines their respective strengths to train biostatisticians in cancer research. The goal of this Training Program is to prepare a new generation of biostatisticians who will work side-by-side with biomedical investigators in modern cancer research. Our program aims to provide trainees with: (1) Rigorous training in statistics and probability (2) Practical experience in basic and clinical cancer research (2) Training in biological aspects of cancer, medical research ethics, and effective communication. Predoctoral trainees in the program follow standard PhD coursework for students in Statistics at Rice, with additional coursework in biostatistics, biologic, ethics, and communication as well as special seminars and workshops at both institutions, plus hands-on experience in summer internship and laboratory rotations. Postdoctoral trainees have access to the same coursework and hands-on experiences, plus will gain grant- writing experience during their training. With faculty expertise in Bayesian methods, decision theory, cancer clinical trials, cancer screening, survival analysis, statistical genetics, genomics, bioinformatics, and statistical computing, trainees will receive a broad background in biostatistics for modern cancer research, with improved rigorous admissions, evaluation and development procedures to ensure success in producing researchers.