Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis: Part II
Introduction This is the second part of the article on parametric modeling1. In the previous part, we fit a Weibull regression model to a time-to-failure dataset from a life test…
Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis
Introduction The four previous articles that I wrote were based on non-parametric methods in survival analysis. This is mainly because the book1 I referred to was based on applications in…
Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis (Part II)
Introduction This article is a continuation of the series of articles where I apply the concepts learnt from the book Survival Analysis: Techniques for Censored and Truncated Data, Second Edition…
Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis
Introduction The following article is my attempt at applying the concepts I learnt in the chapter on non-parametric hypothesis testing1 to failure time data sets in reliability. The log rank…
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 Introduction In my previous blog post, I briefly discussed the survival function and the Kaplan Meir…
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 the first of series of a blog posts related to time-to-event (or survival)…
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…
