Statistics

common_DAG_structures_blog.knit Introduction Directed Acyclic Graphs (DAGs) are powerful tools for visualizing and understanding causal relationships. In this blog post, we’ll explore common DAG structures that frequently appear in causal inference…

Introduction Electronic Medical Records (EMRs) are digital versions of patients' paper charts, playing a crucial role in modern healthcare by improving the efficiency and quality of patient care. They facilitate…

Public health, as both a science and an art, is dedicated to preventing diseases, extending life, and promoting overall well-being through coordinated efforts across societies, organizations, communities, and individuals. This…

Introduction Causal inference is a critical framework used to understand cause-and-effect relationships between variables, going beyond simple correlations to determine if changes in one variable directly cause changes in another.…

collider_bias.knit Find the RMarkdown Notebook on Github and Run the Code Yourself! Introduction - What is Collider Bias? Collider bias occurs when we condition on (or select based on) a…

Introduction The biopharmaceutical industry is a rapidly evolving sector that combines biology and technology to develop innovative therapies and treatments. This industry encompasses the research, development, and commercialization of biologics—complex…

Introduction Life sciences consulting plays a pivotal role in the biotechnology, pharmaceutical, and healthcare sectors, serving as a bridge between scientific innovation and market implementation. Consulting firms in this field…

Introduction Bioinformatics is a multidisciplinary field that combines biology, computer science, and information technology to analyze and interpret complex biological data. It plays a crucial role in modern research, particularly…

Introduction Electronic Health Records (EHRs) are essential tools in the behavioral health sector, enabling practitioners to manage patient data efficiently and securely. EHRs go beyond traditional EMRs by not only…

Introduction Biostatistics is a vital field that applies statistical methods to biological, medical, and public health research. It plays a critical role in designing studies, analyzing data, and interpreting results,…

p.value_distribution_simulations.knit Introduction In this simulation, we will investigate the distribution of p-values : both when the null hypothesis is true. The idea is simply to simulate a sample size of…

Introduction P-values are probably the most discussed statistical topic in history. They are often criticized, distrusted, misused, misinterpreted, and, on the flipside, used everyday in every single empirical study. So,…