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.
Author Archives: Monika Wahi
Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!
Variable names in SAS and R are subject to different “rules and regulations”, and these can be leveraged to your advantage, as I describe in this blog post.
Referring to variables in processing is different conceptually when thinking about SAS compared to R. I explain the differences in my blog post.
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!
Researching data science companies who might be your future employers, but you don’t know where to start? Read my blog post to learn my simple approach.
Counting rows in SAS and R is approached differently, because the two programs process data in different ways. Read my blog post where I describe both ways.
Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!
Paid mentoring for data science can be worth the cost in certain circumstances – but not others. My blog post provides guidance on hiring a paid mentor.
Need online curriculum in data science or public health that keeps the learners engaged? I share a links to free resources as well as my hacks to interest high!