Electronic Data Capture (EDC) in Clinical Trials: Everything to Know
Introduction Electronic Data Capture (EDC) systems are vital tools in modern clinical trials, designed to collect, manage, and store clinical research data electronically. This technology has largely replaced traditional paper-based…
The Complete Biostatistics Roadmap, or How to Become a Great Biostatistician (with Books and Resources)
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…
Predictive Analytics in Healthcare: Uses and Benefits
Introduction Predictive analytics in healthcare is a branch of advanced data analytics that leverages historical and real-time data to forecast future health trends and improve decision-making. By utilizing techniques such…
Do Power Calculation Before Data Collection, Not After – With Downloadable R Code Notebook
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…
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?…
Bioequivalence Studies and Their Role in Drug Development
Introduction Bioequivalence is a term used in pharmacology to assess the similarity of two drug formulations in terms of their bioavailability when administered to the body. Bioavailability refers to the…
Real-World Evidence (RWE) And Real-World Data (RWD)
Introduction In the pharmaceutical industry, real-world evidence (RWE) and real-world data (RWD) are distinct terms often used interchangeably to describe observational data from clinical practice. Let’s explore their differences and…
Pharmacovigilance : An In-Depth Guide
Introduction In healthcare and pharmaceuticals, ensuring the safety and efficacy of medical treatments is paramount. Pharmacovigilance, the science of monitoring and assessing the safety of drugs and medical products, plays…
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…
How to Handle Influential Observations Using R (With Downloadable R Code Notebook)
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…
