Research Project
10260489
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.
