Statistics
Epidemiology vs. Biostatistics: What is the Difference? – A Comprehensive Guide
Introduction Epidemiology and biostatistics are two fundamental disciplines in public health research, often working in tandem to analyze health-related data and improve population well-being. While they share common objectives, their…
Biostatistics in Public Health: Principles, Methods, and Case-Studies – A Comprehensive Guide
Introduction Public health depends on data-driven decisions to improve outcomes and prevent disease, and biostatistics is a vital tool in this effort. By applying statistical methods to health data, biostatistics…
Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis: Part II
This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The next article is here. Introduction This is the second part of the article on…
Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis
This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The next article is here. Introduction The four previous articles that I wrote were based…
Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis (Part II)
This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The next article is here. Introduction This article is a continuation of the series of…
Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis
This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The next article is here. Introduction The following article is my attempt at applying the…
Competing Risks in Time-to-Event (or Survival) Analysis–A Tutorial With Code
This article originally appeared at Accendo Reliabilty as Competing Risks in Failure Time Data. This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The…
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 This article is part of an extended series of tutorials for time-to-event (or survival) analysis. The…
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…
