I would like to argue that a level-set will benefit health professionals and medical education stakeholders as well. A primary reason for my blog, Data and Donuts, was reminiscent of the clever strategies needed to bring people into meetings with the single goal of teaching analytics to collaborative teams. Eyes would roll back and yawns stifled silent screams. The solution? Promise everyone a donut. Who doesn't love a donut? It was learned that the masses would attend unable to resist the siren song of a tasty treat. Now your eyeballs wouldn't be the only glazed orb in the room...
All statistics are not created equal (or equally effective)
Continuous data is incremental data. Think of blood pressure values, weight, height, or age--you get the picture. A good rule of thumb is to recall that one unit change (increment) means the same across the entire range of data values. Binary data is a simple yes or no. Yes I am female, no I don't have the disease in question, and no I do not smoke. You will notice that I included categorical in parentheses above as an extension of binary data category. Categorical data is actually an expansion of simple binary (yes or no) to include additional categories.
- Nominal--(no order) think of reporting race/ethnicity
- Ordinal--(order) recall degree of agreement used in Likert style questions
Thoughtful discussions about content development and outcomes analytics that apply the principles and frameworks of health policy and economics to persistent and perplexing health and health care problems
freelance medical content, health policy, and economics writer and insight analyst