Researchers love p-values, especially when they are significant. It has previously been demonstrated that there is a disproportionate number of positive or significant p-values. In other words, many reported p-values must be false. That is to say, they are associated with false-positive findings. In a recent article, Cristae & Ioannidis (2018) investigated the characteristics of p-values reported in figures and
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I’m into latex. No, not the kinky kind. I am talking about LaTeX, a typesetting system that has been around for more than 30 years. You can use LaTeX to write pretty much any kind of document, and the LaTeX community has contributed countless packages and templates to reduce your workload. These packages and resources can be found at https://ctan.org/.
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Self reflection is important. As a human endeavour with the whole of society as its beneficiary, science should also have introspection; looking in on itself to identify things worth celebrating, as well as things that need improvement. In a recent article, Ioannidis explains why we need meta-research: research on research. Meta-research The goal of meta-research is to understand and improve
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In our previous post we reviewed how to apply the DRY principle (don’t repeat yourself) to our code and we learned how to create Python modules to avoid repeating ourselves (i.e. cutting-and-pasting code) across scripts and programs. In this post we will see how we can use our modules as a stand-alone program as well as useful functions that can
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In a previous blog, we applied simple linear regression to an interesting problem: how well does a measure of wine density account for alcohol content. This was considered simple linear regression because we had one outcome variable (alcohol content) and one predictor variable (wine density). We can extend this approach to have more than one predictor. Specifically, we can use
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We previously learned to create our own Python functions to reduce how much we repeat ourselves in our code. In this post we see another example of the DRY principle (don’t repeat yourself) and we will learn how to ensure we don’t repeat ourselves between the different programs we write. A typical (bad) script to process data Below is an
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