Adding the “Real” to Real-World Data
The Irony of “Real-World Data” Have you noticed how many companies now include “AI” as a buzzword on their websites or in their product descriptions? How many do you think…
Power Calculation : 8 Reasons Why You Should Care About It
What is a power calculation good for? Power calculation helps a researcher determine the required sample size for a study. It is done at the planning stage of a trial.…
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…
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…
