Biostatistics for the Health Sciences: BIOST 310
Introduction to statistical methods for students panning on majoring in health sciences. Uses case studies and examples from popular and scientific literature to introduce topics such as data description, study design, screening, estimation hypothesis testing, categorical data analysis, and regression. Emphasizes concepts and interpretation rather than computation or theory.
I didn't expect this class to be nearly as interesting as it turned out to be. What was essentially an introduction to statistics (which I'd already taken in high school) turned out to be fascinating since we learned it through real-life examples: case studies and current research. It gave the information a relevancy and weight that it probably wouldn't have had if it was simply statistics. I really liked that the class had us develop "statistical thinking" rather than just cramming statistics into our heads. It's a sure sign that a class has value when you find yourself applying what you learned outside of it, as I found myself doing when reading the news. I found myself asking the same questions that we had been tasked with asking in our Term Paper, a review of an assigned article.
Here is my Term Paper, a good indication of the "statistical thinking" I have developed this quarter. I'm very pleased with this class. I may not have learned anything new in terms of statistical theory, but it provided an excellent way to refresh and entrench my knowledge, as well as provide me practice for the kind of thinking I'll be expected to do in Medical School.
Here is my Term Paper, a good indication of the "statistical thinking" I have developed this quarter. I'm very pleased with this class. I may not have learned anything new in terms of statistical theory, but it provided an excellent way to refresh and entrench my knowledge, as well as provide me practice for the kind of thinking I'll be expected to do in Medical School.