Should you trust your study results?
In 2005, John Ioannidis wrote Why Most Published Research Findings Are False. In this famous article, he discussed problems in designing and interpreting research studies and how to avoid them. In short, a lot of what is considered good practice is at least non-intuitive, and sometimes difficult to understand and apply.
My journey in learning this subject has been long and difficult, so my goal is to make it easier for you.
This is where QuantifyingHealth comes in
The objective of this website is to help health researchers with study design and data analysis.
Who am I?
My name is George Choueiry, I have a Master’s degree in Public Health (Epidemiology and Biostatistics) and I am also a Pharmacist.
Since 2011, I completed more than 70 online courses on edX, Coursera and Stanford lagunita, and I enjoy listening to econtalk podcasts.
Some of my projects
As part of my Master’s thesis, I created white, a graphical user interface web and desktop application that automates hypothesis testing and statistical modeling. The goal was to make statistics more accessible to non-technical users (The web app is available here).
Along with some of my colleagues from INSPECT-LB, I created an online tool to help researchers detect bias in medical studies. Here’s the link to the tool on inspect-lb.org.
I was also the main creator of a tool that helps data analysts select the appropriate statistical test for their analysis. Here’s the link to the tool on inspect-lb.org.
In 2019, I decided to create Quantifyinghealth.com to share everything I learned and still learning about epidemiology and biostatistics.
I promise to deliver my best. Hope you enjoy it!