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Tag Archives: Biostatistics
“Biostatistics for Dummies” is the thinking data scientist’s essential reference. Check out the updated 2024 version, which adds epidemiologic inference topics and modeling advice!
Confidence intervals (CIs) help you get a solid estimate for the true population measure. Read my blog and try my CI calculator!
Chi-square test is hard to grasp – but doing it in Microsoft Excel can give you special insight. Read about it on my blog!
The paste command in R is used to concatenate strings. You can leverage the paste command to make refreshable label objects for reports and plots, as I describe in my blog post.
Testimonials for Monika Wahi’s data science courses on LinkedIn Learning are posted here. Read what learners are saying to help you decide if you want to take the courses!
Time series plots in R are totally customizable using the ggplot2 package, and can come out with a look that is clean and sharp. However, you usually end up fighting with formatting the x-axis and other options, and I explain in my blog post.
Making box plots in R affords you many different approaches and features. My blog post will show you easy ways to use both base R and ggplot2 to make box plots as you are proceeding with your data science projects.
GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.
Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!
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