Posted on April 13, 2020
Onesimus was an African slave brought by force to what was then the Massachusetts Colony. The knowledge and wisdom he brought with him saved lives at a time when smallpox was pandemic. I hope to be able to use all of the knowledge and wisdom of the people around me to do what I can in this pandemic.
It’s been a while since I’ve written anything, so why not entertain you with a thrilling subject? Pop quiz: If you’re presenting the results of an analysis, do you present the odds ratio or the marginal effects? Let’s say you have 150 birth records, and you want to see if smoking is associated with premature […]
In the last two blog posts (here and here), I told you about the history of fluoridation of water in the United States and other parts of the world. I told you how a dentist traveled out west to Colorado and, through observation and laboratory study, helped determine that adding fluoride to drinking water prevented […]
NOTE: This is the second of a three-part series on fluoride in drinking water and a recent study about it. You can read part 1 here. You can read part 3 here. In the last blog post, I told you all about how fluoride has been added to potable water systems in the United States […]
Some dude said I didn’t know what I was talking about because, in his world, a small sample size with a statistical significance only gets more statistically significant if the sample size increases. He’s also an antivaxxer, so…
Posted on May 19, 2019
Modern software programs allow you to analyze spatial data quite easily, but it may be hard to replicate what you did without a detailed how-to manual and instructions you write as you go. Programming languages such as R and others allow you to write code and comments in that code, so it will be easy to follow what you did and reproduce it time after time.
When comparing two populations, it is essential that you know if the differences are due to different age distributions. Age can confound a lot of findings, especially if the outcome is strongly influenced by age.
If vaccines are as bad as anti-vaccine people and groups claim that they are, where is the evidence? We’ve seen other diseases and conditions be identified and dealt with. Why not these bad vaccine outcomes? Could it be that it’s not as bad as antivaxxers say it is?
Posted on April 8, 2019
R programming can help with a lot of tasks. In this blog post, I show you how it can help understand and visualize inequities in Baltimore with regards to poverty and violence.