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Welcome to prevention science meets sci-fi.
Prevention Science
Machine Learning
AI is knocking at the door of prevention science, carrying predictions instead of theories and probabilities instead of certainties. It’s exciting, slightly unsettling, and…
Jul, 25
 
Three Components of a Successful Prevention Program
Prevention Science
Causal Inference
One of the core challenges in prevention science and public health is establishing whether a program causes the outcomes we observe in the field. Are the gains we see (i.e.…
Dec, 24
 
How to Create a Bash Script for Easy File Conversion Using DuckDB
Bash
Working with different file formats can be challenging, especially when dealing with large datasets. Here’s a simple but powerful Bash script that leverages DuckDB to…
Nov, 24
 
How to Create a Bash Script to Automatically Organize Your Files
Bash
Ever found yourself drowning in a sea of unorganized files? Try this simple but powerful Bash function that automatically organizes files into appropriate folders based on…
Nov, 24
 
How much do we trust a student’s answer about drug use?
R
Prevention Science
Confidence in students’ survey responses is often questioned when researching drug use, as it can be difficult to determine whether students are being truthful about their…
Jul, 24

How to Create a Bash Script to Extract Bibliographic References from DOIs
Bash
Dealing with references can feel like a real headache. However, recently I came across a fantastic solution by Richard Mclearn. This blog post is all about making your life…
Apr, 24
 
Balancing Data in Machine Learning: When Good Intentions Meet Slippery Slopes
Machine Learning
Causal Inference
Have you ever attended a party where the host tries so hard to make everyone happy that they end up achieving the exact opposite? That’s somewhat like what happens when we…
Mar, 24
 
Health Literacy: A Double-Edged Sword?
Prevention Science
In prevention science, information is often considered the cornerstone of any public health initiative. For example, the Health Belief Model, one of the most commonly…
Feb, 24
 
To Explain or to Predict
Prevention Science
Machine Learning
There is a current debate regarding the appropriate circumstances to employ machine learning (ML) over traditional statistics for statistical modeling. Some traditionalists…
Jan, 24
 
Balancing Efficiency and Flexibility: The Challenges of Over-Optimization in the Multiphase Optimization Strategy (MOST)
Prevention Science
The Multiphase Optimization Strategy (MOST) is an approach to intervention development in prevention science. MOST is structured around three phases: the Screening Phase…
Dec, 23

The Chessboard and the Wise Courtier
Python
Chess
Once upon a time in ancient India, a wise courtier presented a challenge to his king using a chessboard and some grains of rice. He placed a single grain of rice on the…
Aug, 23

Computing Sensitivity and Specificity Using collect_metrics
R
Machine Learning
(in progress)
Jul, 23

Computing Sensitivity and Specificity using tidymodels
R
Machine Learning
Sensitivity and specificity are two crucial metrics used to evaluate the performance of binary classification models. In this article, we delve into the process of computing…
Jul, 23
 
An Introduction to the Recipes Package for Data Preprocessing
R
Machine Learning
I liked this presentation done by Max Kuhn.
May, 23
 
Maximizing the Impact of Your R Teaching: Insights from Garrett Grolemund
R
Teaching
I recently watched a presentation by Garrett Grolemund, the Director of Learning at Rstudio, on the POSIT Enterprise Community Meetup on YouTube. I wanted to share with you…
Feb, 23

Can ELO Predict the Outcome of Chess Games?
R
Machine Learning
Chess
The ELO rating system is a method used to calculate the relative skill levels of chess players, based on their game results. A higher ELO rating indicates a higher perceived…
Dec, 22
 
Trustworthy
Prevention Science
Francisco Cardozo, Pablo Montero-Zamora
Nov, 22
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