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Sample Size Calculation for Bioequivalence Tests : A powerTOST Tutorial With Downloadable R Code
This tutorial explores the methodology of sample size calculation for bioequivalence studies using the two one-sided tests (TOST) procedure in R. It examines key factors ...
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Once Upon a Time Series
A Journey Through Causal Inference and Inspiration In 2015, on the brink of defending a dissertation in biostatistics, the author found new hope and direction. ...
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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 ...
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Bioequivalence Studies and Their Role in Drug Development
Bioequivalence studies ensure that generic drugs provide the same therapeutic effect as brand-name drugs by comparing their bioavailability. These studies assess key pharmacokinetic parameters like ...
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The Difference Between Biostatistics and Bioinformatics
While both disciplines focus on analyzing biological data, biostatistics applies statistical methods to study design, clinical trials, and public health research, ensuring reliable scientific conclusions. ...
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Pharmacovigilance : Masters, Online Courses and Trainings
Pharmacovigilance plays a crucial role in monitoring and preventing adverse drug effects throughout the entire lifecycle of a medication, from development to post-market surveillance. It ...
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Real-World Evidence (RWE) And Real-World Data (RWD)
Pharmacovigilance is essential in ensuring the safety of medications by detecting, assessing, and preventing adverse drug reactions. Through methods like spontaneous reporting, active surveillance, and ...
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Pharmacovigilance : An In-Depth Guide
Pharmacovigilance is essential in ensuring the safety of medications by detecting, assessing, and preventing adverse drug reactions. Through methods like spontaneous reporting, active surveillance, and ...
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Crash course on confounding, bias, and deconfounding remedies using R
Confounding bias is one of the most ubiquitous challenges in estimating effects from observational (real-world data) studies. Confounding occurs when the relationship between a treatment ...
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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 ...
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Transitioning From Healthcare to Biostatistics? Start Here!
After years in physical therapy, the routine had set in, and the desire for deeper engagement with data and analytics grew stronger. While healthcare offers ...
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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 ...
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