Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Circulating Tumor DNA Assessment of Disease Response in Large B-Cell Lymphoma: Lisocabtagene Maraleucel Versus Autologous Stem Cell Transplantation Standard Therapy We conducted an assessor-masked, ...

Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A team of researchers ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Abstract: Colorectal cancer remains a pressing challenge in global health, necessitating advanced biological models and analytical methodologies. Tumor organoids (tumoroids) have emerged as a ...

Statistical communication through data visualization is essential across diverse fields, including health, climate, science, education, and policymaking. Despite its widespread use, there is currently ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

Bayesian Network (BN) [15] is a probabilistic graphical model that represents a set of random variables and their conditional probabilities via a directed acyclic graph (DAG). In these graphical ...

Theory of mind is the ability to understand other people’s behavior in terms of mental states such as desires and beliefs. Many have hypothesized that theory of mind is important for explaining the ...