Mathematics preparation for quantitative health sciences. Includes selective topics in
linear algebra, advanced calculus and probability theory. A-F only.
Directed reading/research in quantitative health sciences. Students will work closely with a QHS faculty member or mentor who will guide them through quantitative methodologies and/or the process of conducting a research study. Repeatable three times or up to 12 credits. A-F only.
Provide biostatistical concepts to clinical researchers. Students will obtain the ability to demonstrate an understanding of key biostatistical concepts in clinical research; and interpret statistical findings most commonly reported in clinical and healthcare literature. Graduate students only.
Fundamental biomedical statistics concepts and tools will be introduced, as well as their applications to biomedical data. Students will perform hands-on analysis using statistical software and learn to interpret and present the results. A-F only. (Fall only) (Cross-listed as TRMD 655)
Statistical theory of Linear Model and Generalized Linear Model, algorithms use for estimation, inference concepts, and assessment of goodness-of-fit. Covers Proportional Hazard Model and Generalized Estimating Equations. A-F only. Pre: 601 (with a minimum grade of B) or consent.
Data management and visualization is essential to all aspects of health sciences. Through hands-on experiences in R, will introduce data processing, manipulation, visualization and reproducibility, with an emphasis on clinical, medical, and health science problems. A-F only.
Provides fundamental concepts in bioinformatics with strong emphasis on hands-on training. Topics such as molecular biology, sequence alignment, biological databases, phytogeny, and genomics including microarray and RNA-sequence analysis. Repeatable one time, but credit earned one time only. Open to nonmajors. A-F only. Pre: 604 (or concurrent) and 605 (or concurrent) or consent. (Fall only) (Cross-listed with TRMD 653)
Focus on bioinformatics approaches for functional genomics related to DNA, RNA, and protein. It will provide of virus, bacteria, and human genome and bioinformatics approaches to human disease. A-F only. Pre: 610 (or equivalent) (with a minimum grade of B) or consent.
Introduction to clinical trials. Topics include history, definitions/terminology, adverse events, FDA and government regulatory agencies, ethics; monitoring committees, recruitment, introduction to protocol development, basis designs. A-F only.
Covers basic and advanced statistical methods utilized in clinical trials design, conduct, and data analysis. Topics cover statistician’s role in drug development and DSMB, statistical theory in phases I-IV clinical trial designs and analysis. A-F only. Pre: 601 (or equivalent) or consent.
Will allow students who are new to using secondary data to become comfortable with accessing the data, forming hypotheses, and designing study proposals. Will introduce examples with basic and advanced techniques. A-F only. Pre: 601 or equivalent.
Introduces students to issues in working with complex data sets and adds the hands-on experience needed to conduct individual research using secondary databases. A-F only. Pre: (601 (or equivalent) and 650) with a minimum grade of B, which can be taken concurrently.
Special topics in quantitative health sciences. Reflects special research interest of QHS faculty or guest lecturers. Repeatable unlimited times. A-F only.
Investigate the roles and responsibilities of the biostatistician as both consultant and collaborator with biomedical researchers, guide students in enhancing problem-solving and communication skills, and provide opportunity to observe real-life biostatistical consultations. A-F only. Pre: 601 and 602 (or equivalent) (with a minimum grade of B), and consent.
Under the supervision of biostatistics faculty members, students will have the opportunity to provide statistical consultations to biomedical researchers and gain hands-on experience conducting biostatistical analysis in solving real-life analytic problems. Repeatable two times, up to six credits. A-F only. Pre: 675 (or concurrent.)
Directed research in quantitative health sciences. Students will work closely with a QHS faculty member or mentor who will guide them through the process of conducting a research study. Repeatable two time, up to nine credits. A-F only.