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Mathematical modeling software: Ins and outs
Mathematical modeling software: Ins and outs
Saturday, November 15, 2014
: 12:45 PM - 1:15 PM
This presentation will provide an overview of the different software packages accessible to most public health researchers interested in pursuing an interest in mathematical models. These packages will be compared and contrasted based on their ease of use, utility in implementing models, and cost. A special focus in this presentation will be placed on software packages participants may already be familiar and have access to, such as Microsoft Excel, and popular statistical packages such as SAS and R.
Learning Objectives:
- List common software used to implement mathematical models.
- Compare packages based on usability, complexity and cost.
- Assess which software is most suited to the learner’s goals.
Learning Areas:
Presenting author's disclosure statement:
Qualified on the content I am responsible for because: I am qualified to be a proposal author on the content I am responsible for because I have experience with both the use of computational models and public health practice, and am an expert in combining the two to further public health research and policy planning.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.