University of Colorado Denver

Program Competencies - Biostatistics

• Study development:  Work collaboratively with biomedical or public health researchers and PhD biostatisticians, as necessary, to provide biostatistical support for development and design of research studies.
  • Map study aims to testable statistical hypotheses.
  • Identify the strengths and weaknesses of various clinical trial and observational study designs and the data collection methods that go with these designs.
  • Use probability and statistical theory to develop appropriate data analysis plans for study hypotheses.
• Modeling and Analysis: Develop, carry out and report biostatistical modeling analysis of biological science and public health studies.
  • Use summary and graphical methods to carry out exploratory data analyses for data examination.
  • Use probability and statistical theory to identify appropriate modeling and analysis methods to address study hypotheses.
  • Use computer software for data management and for summarizing, analyzing and displaying research results.
  • Determine and check modeling assumptions, and verify validity of proposed analyses.
  • Carry out valid and efficient modeling, estimation and inference to address study hypotheses, using standard statistical methods including basic one and two sample methods, general linear models including regression and ANOVA, logistic regression, and clustered and longitudinal analysis.
  • Read biostatistical literature to determine and implement alternate methods of analysis.
• Biologic or Public Health Relevance: Show how biostatistical tools apply to and influence research and policy development in the biomedical and public health arenas.
  • Read subject specific biomedical or public health literature and synthesize issues that are important in the design, implementation, and analysis of research in the subject area.
  • Carry out specialized analyses in biological (e.g. genetic association, microarray) or public health (e.g. epidemiological) settings.
• Communication: Communicate orally and in writing biostatitical concepts and results to both biostatistical and non-biostatistical audiences.
  • Communicate orally and in writing simple and complex statistical ideas and methods to collaborators in non-technical terms including preparation of analysis section of grant proposals and methods and results sections of manuscripts.
  • Manage the preparation of large documents (e.g. grant proposals or manuscripts).