Non-degree-seeking options

This course provides practical knowledge and skills for the responsible conduct of research, spanning issues of authorship; peer review; data confidentiality, management, sharing, and ownership; human subjects protections; collaboration; mentor-mentee relationships; conflicts of interest; research misconduct; and safe and supportive research environments. This course satisfies NIH, NSF, and other federal agency’s requirements for instruction in the responsible conduct of research. The course encourages sensitivity to ethical issues in research, develops decision-making and communication skills for navigating challenges in research, and builds awareness of resources that support the responsible conduct of research.

This course prepares clinical researchers to critically evaluate ethical and regulatory issues in clinical research. The principal goal of this course is to prepare clinical researchers to identify ethical issues in clinical research and the situational factors that give rise to them, to identify ethics and compliance resources, and to foster ethical problem-solving skills

DOC Research covers how to select a clinical research question, outline a research protocol, and execute a clinical study. Topics include: subject selection, observational and experimental study designs, sample size estimation, clinical measurement, bias and confounding, and data management. The course is designed for health care professionals who wish to conduct patient-oriented clinical research. Students incorporate research design concepts into their own research proposal. The course consists of lectures, weekly problem sets, weekly reading assignments, outlining a research protocol, and a final exam.

This is an introductory course in statistics with a focus on the use of statistical analysis in clinical research. It is taught using SPSS, statistical analysis software commonly used in clinical research. The course teaches basic statistical methods with which clinical researchers will have the facility to execute their own analyses.

Scholars create a focused research plan that incorporates well-formulated hypotheses, rationales, specific objectives and long-range research goals; organize and present a sound research plan that accurately reflects the ideas and directions of the proposed research activities; develop and justify a budget for the proposed research activities; avoid many common grant-writing mistakes; discuss the peer review process in grant evaluation and formulate a grant proposal that is maximally compatible with that process. Students enrolled in this course should identify a grant to actively work on during the semester.

This course introduces principles of genomics in medicine as they apply to clinical research and provides a practical background in molecular biology and genetics. Students will be provided with an introduction to genomic research and applications of genomic technologies in the research environment and an understanding of the clinical application of genetic/genomic knowledge. Critical thinking and scientific/analytic competencies are emphasized through weekly lectures by renowned faculty. Reflection papers are required. Prior clinical research experience is helpful but not required. This course is fully online.

Upon successfully completing this class, scholars will be able to: Describe the need for dissemination and implementation research, compare theories and frameworks in the field, select the appropriate designs, strategies, outcomes, and measures for implementaion studies. Scholars will also: Understand the importance and language of D&I basic science, explore the theories and frameworks that are commonly used in D&I research and practice, describe the importance of context at multiple levels in D&I science, distinguish between implementation strategies and outcomes from those in efficacy and effectiveness research, describe various study designs, methods, and measures that support D&I science, understand D&I methods and challenges across various settings and populations, recognize opportunities to apply D&I science to intervention development and evaluation, and understand how D&I science can further your research/practice plans and career. This course is fully online.

This course provides practical knowledge and skills for the responsible conduct of research, spanning issues of authorship; peer review; data confidentiality, management, sharing, and ownership; human subjects protections; collaboration; mentor-mentee relationships; conflicts of interest; research misconduct; and safe and supportive research environments. This course satisfies NIH, NSF, and other federal agency’s requirements for instruction in the responsible conduct of research. The course encourages sensitivity to ethical issues in research, develops decision-making and communication skills for navigating challenges in research, and builds awareness of resources that support the responsible conduct of research.

This course builds upon Introduction to Statistics for the Health Sciences (CLNV 5150) and will focus on SPSS, Cox proportional hazards, generalized linear models, multiple linear models, ANOVA, repeated measures, regression, applied modeling, 2X2, ROC curves, checking assumptions and regression diagnostics. Completion of this course will enable clinical investigators to work independently with their own data and run their own analyses. Content will include data sets with applied exercises, interpreting output, lab assignments and a midterm and final exam. R code will be provided for R users.

The objective of this course is to teach the proper techniques of writing and publishing a biomedical manuscript. Writing a working title and structured abstract as well as hand drawing of figures and tables is covered. Publishing strategies are also discussed.

This course introduces principles of genomics in medicine as they apply to clinical research and provides a practical background in molecular biology and genetics. Students will be provided with an introduction to genomic research and applications of genomic technologies in the research environment and an understanding of the clinical application of genetic/genomic knowledge. Critical thinking and scientific/analytic competencies are emphasized through weekly lectures by renowned faculty. Reflection papers are required. Students may enroll in this course even if they have not taken Genomics in Medicine I (CLNV 5220). Prior clinical research experience is helpful but not required. This course is fully online.

Despite the unequivocal successes of clinical research over the last generation, the use of evidence based clinical interventions in routine public health and clinical practice remains far from optimal. Today, Americans receive approximately half of indicated medical care (and much unindicated care as well). As a result, the clinical advances of the last 30 years have not led to expected improvement in the health of the Americans. Globally, the magnitude of avertable loss of life due to unused but available – and affordable – interventions is even greater. Dissemination & Implementation (D&I) Research is an emerging area of scientific inquiry with a growing body of distinctive perspectives and methods that seeks to tackle this gap. This course, “Methods, Measures and Metrics in Dissemination and Implementation Research” focuses on methods with particular or distinctive relevance to implementation research.

This course focuses on the application of advanced epidemiologic principles and outcomes research as applied to clinical research. Students study the tools used in clinical research, in clinical issues, and in understanding the medical literature concerning these issues, which are crucial for making informed decisions in the care of patients. Critical thinking and scientific/analytic competencies are emphasized throughout the course. Prerequisite is Designing Outcomes and Clinical Research (CLNV 5100).

This course will introduce fellows-in-training and future physician scientists to the core principles of scientific investigation. This unique three-week intensive format will combine theoretical knowledge with practical, hands-on applications to provide students with an understanding of common research approaches used in current scientific endeavors. Course lectures will highlight the following areas: molecular medicine; biospecimens and tissue banking; gene expression; immunoassays and controls; immunolocalization techniques; flow cytometry and cell sorting; cell signaling; sequencing technologies; microarray and related technologies; proteomics and mass spectroscopy; animal models; and bioinformatics. The lectures will be complemented by hands-on laboratory experiences in ELISA, DNA Extraction & PCR, Electrophoresis, Western Blot, and Basic Lab Animal Handling.