From Genome Analysis Wiki
Jump to navigationJump to search
2,396 bytes added
, 19:08, 1 December 2016
The Council for Education in Public Health recommends that every course document the Public Health competencies covered in its syllabus. This is the list of competencies covered by [[Biostatistics 866]].
== Core Biostatistics Competencies ==
* Describe the roles biostatistics serves in the discipline of public health.
* Describe basic concepts of probability, random variation and commonly used statistical probability distributions.
* Describe preferred methodological alternatives to commonly used statistical methods when assumptions are not met.
* Apply descriptive techniques commonly used to summarize public health data.
* Apply common statistical methods for inference.
* Apply descriptive and inferential methodologies according to the type of study design for answering a particular research question.
* Interpret results of statistical analyses found in public health studies.
== Core Epidemiology Competencies ==
* Identify key sources of data for epidemiologic purposes.
== Core Health Behavior and Health Education Competencies ==
* Identify the causes of social and behavioral factors that affect health of individuals and populations.
== Cross Cutting Competencies ==
* Describe how the public health information infrastructure is used to collect, process, maintain, and disseminate data.
* Analyze determinants of health and disease using an ecological framework.
* Appreciate the importance of working collaboratively with diverse communities and constituencies (e.g. researchers, practitioners, agencies and organizations).
== Overall Goals ==
Students completing Biostatistics 866 are expected to:
* Develop knowledge to communicate and collaborate effectively with scientists in health-related disciplines to which biostatistics are applied (with a focus on medicine and genetics).
* Become well-versed in the application of advanced statistical techniques in genetic studies.
* Understand the theoretical foundations of statistical methods used in genetic studies.
* Select appropriate techniques and apply them to the processing of data from genetic studies.
* Interpret the results of statistical analysis and convert them into a language understandable to the broad statistical community.
* Develop written, oral presentation skills and other scientific reporting skills.
* Think about how to integrate genetic analyses with other aspects of public health.