The Biostatistics Roadmap or How to Become a Great Biostatistician
I’m often asked by budding biostatisticians curious and eager to learn more to advise them on a developmental roadmap. Here is what I think you need to become a great…
The Influence of Confounding Variables in Observational Studies
Observational studies play an important role in understanding associations between exposures and outcomes, particularly in fields where randomized controlled trials (RCTs) may not be feasible due to ethical, practical, or…
Don’t Compute the Statistical Power of Your Experiment…Even if SPSS Allows It And Your Editor Requires It!
Don’t Compute the Statistical Power of Your Experiment…Even if SPSS Allows It And Your Editor Requires It! Introduction Download the R Markdown notebook here used to generate this blog post…
Sample Size Calculation for Bioequivalence Tests : A powerTOST Tutorial With Downloadable R Code
Introduction (Downloadable Code) Sample size calculation is a fundamental aspect of research design, influencing the reliability and validity of study outcomes. Researchers often inquire about the methods and factors involved…
Once Upon a Time Series
In the summer of 2015, I started to feel hope. Not that I was in a bad place—not at all. In four months, I would go on to defend my…
Who’s the Culprit for Bias in Aging Clocks?
Predicting biological age with machine learning How and why do we age? This is a lofty biological question, so what might it have to do with machine learning and statistics?…
Crash course on confounding, bias, and deconfounding remedies using R
. . Introduction In theory there is no difference between theory and practice. In practice there is. Yogi Berra Confounding bias is one of the most ubiquitous challenges in estimating…
Factor Levels or Binary Variables? A Case-Study in Statistical Modelling of Bipolar Disorder and the Aging Brain
When do you code your variables as levels in a factor, and when do you enter them as binary variables in a model? As it turns out, it isn’t necessarily…
Transitioning From Healthcare to Biostatistics? Start Here!
It had been seven years, and I knew something was missing. When I graduated from physical therapy school in 2016, I was easily able to get a job; first in…
Using ChatGPT for Machine Learning (ML): a simple example
Machine learning. The words of the day. The promise of AI, how it will change everything that we will do, from self driving cars to robots. Every organization wants it,…
How to Handle Influential Observations Using R
How to Handle Influential Observations Using R By Justin Bélair © | Biostatistician at JB Statistical Consulting Find the RMarkdown Notebook on Github and Run the Code Yourself! Influential Observations…
