Introduction to Time-to-Event (or Survival) Analysis–A Tutorial With Code
This article originally appeared at Accendo Reliability as Time to Event Analysis: An Introduction Introduction I am currently reading the book Survival Analysis: Techniques for Censored and Truncated Data, Second…
Wilcoxon Signed-Rank Test Calculator | A Complete Guide With Misconceptions Explained
Support Button SUPPORT BIOSTATISTICS.CA – KEEP OUR FREE CALCULATORS RUNNING! About Our Shiny App for Wilcoxon Signed-Rank Test In statistical analysis, researchers often need to compare paired samples or test…
The Battle For The Soul Of Causal Inference
battle_for_the_soul_of_causal_inference_blog.knit The Battle for the Soul of Causal Inference: Pearl vs. Rubin In causal inference methodology, an intellectual battle of titans has been unfolding for decades. This conflict isn’t merely academic…
Association Does Not Imply Causation, Except When it Does – A Causal Inference Perspective
association_to_causation_blog.knit The Challenge of Causal Inference Ever wondered why researchers are so cautious when saying “X causes Y” instead of just “X is associated with Y”? The difference isn’t just…
Common DAG Structures–Confounding, Collider Bias, and Mediation
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…
Best Mental Health (Electronic Medical Record) Emr’s: The Optimal Unbiased List
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 Books
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…
Causal Inference Guide: Books, Courses, and More
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.…
Selection Bias, A Causal Inference Perspective (With Downloadable Code Notebook)
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…
Biopharma Consulting: A Comprehensive Guide
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…
Life Sciences Consulting: A Comprehensive Guide
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…
Bioinformatics Consulting: A Comprehensive Guide
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…
