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 I Am and What I Do

I am Georges Choueiry, a health researcher and a PhD student in epidemiology, with over 7 years of experience in data analysis and visualization. I am also a PharmD and an MPH graduate, and a member of INSPECT-LB, a health research group. You can find my publications on ResearchGate.

Here are some of my projects:

Web Apps

Using R shiny, I created:

✼ An application that automates hypothesis testing and statistical modeling (link)

✼ An application to compare weighted and ordinary linear regression in different settings (link)

Visualizations

Using R and Adobe Illustrator, I created:

✼ A Chart that shows a timeline of Lebanon’s major historical events over the past 60 years (link)

✼ An analysis of the contributions and collaborations of INSPECT-LB group members (link)

Statistical Tools

Along with colleagues from INSPECT-LB, I created:

✼ An online tool to help researchers detect bias in medical studies (link)

✼ An online tool to help data analysts select the appropriate statistical test for their analysis (link)

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!