Age-adjusted mortality

In the early part of any epidemiology course, few things throw students as much as computing age-adjusted mortality. It seems really counter-intuitive that two populations could have the exact same mortality rate and yet one is significantly less healthy than the other. Thinking about it for a moment, though, before diving into computation, makes it…

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SAS Studio: Finding prevalence with pointing and clicking

Policy makers have very good reason for wanting to know how common a condition or disease is. It allows them to plan and budget for treatment facilities, supplies of medication, rehabilitation personnel. There are two broad answers to the question, “How common is condition X?” and, interestingly, both of these use the exact same SAS…

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Urban vs Rural Barriers to Ed Tech: An example of Fisher’s Exact Test

Who was it that said asking a statistician about sample size is like asking a jeweler about price. If you have to ask, you can’t afford it. We all know that the validity of a chi-square test is questionable if the expected sample size of the cells is less than five. Well, what do you…

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Know Thy Data: The Most Important Commandment in Statistics

I was going to write about prevalence and incidence, and how so-called simple statistics can be much more important than people think and are vastly under-rated. It was going to be cool. Trust me. In the process, I ran across two things even more important or cooler (I know, hard to believe, right?) Here’s what…

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Is it sick to get this excited about data analysis?

The results are in! The chart below gladdens my little heart, somewhat. One thing to note is the fact that the 95% confidence interval is comfortably above zero. Another point is that it looks like a pretty normal distribution. What is it? It is the difference between pretest and post-test scores for 71 students at…