Get ready for a thrill ride in causal discovery! We’re diving into gCastle, a Python package, right in R to amp up our skills. Let’s orchestrate our prior knowledge and nail that true DAG. 🔥 As I delve into Aleksander Molak’s Causa...

Simulating a binary dataset, coupled with an understanding of the logit link and the linear formula, is truly fascinating! However, we must exercise caution regarding our adjustments, as they can potentially divert us from the true findings. I advocate for transparency in Directed Acyclic Graphs (DAGs) and emphasize the sequence: ...

Saving can be enjoyable! If you’re planning to cut down on takeout orders, why not use past data to simulate your savings? Let it inspire and motivate your future dining-in decisions! 👍 If you’re anything like me, you might often resort ...

Beware of what we adjust. As we have demonstrated, adjusting for a collider variable can lead to a false estimate in your analysis. If a collider is included in your model, relying solely on AIC/BIC for model selection may provide misleading results and give you a false sense of ...

Front-door adjustment: a superhero method for handling unobserved confounding by using mediators (if present) to estimate causal effects accurately. Let’s DAG an estimand! library(dagitty) dag

Special thanks are due to Dr. Amit Diwakar, Dr. Jeffrey Solomon, and Jennifer Hayes for their contributions in making this project a resounding success and continuously striving for improvement. I had the pleasure of presenting our project at Shi...

Biweekly did great overall, Better at TIPS, short-term bond, real estate, international; Monthly is second best with 3 out of 8. Good at small, mid, large caps If you want to automate your investment on index funds with a fixed amount every mont...

TL;DR Bring a textbook to life by Using a simple Natural Language Processing method (Ngram) to guide focused reading and build a robust differential diagnosis Introduction What would you do if you encountered a clinical case with quite a few nuance symptoms? How do you know which article to ...

Inspiration This was inspired by wanting to read a textbook Mandell, Douglas, and Bennett’s Principles and Practice of Infectious Diseases. But, I didn’t want to read the textbook in sequence. Hence, I figured that if I read a par...

Just Because == Randomness Randomness can be difficult to simulate because we are biased. Not that thinking of buying your spouse 😍 flowers is a bad thing. What if you can preserve that idea and actualization by coding that! But how? Thoug...

Brief Introduction: The 100 prisoners problem is a probability theory and combinatorics problem. In this challenge, 100 numbered prisoners must find their own numbers in one of 100 drawers in order to survive. Rules: ...