Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis: Part II
Shishir Rao
May 22, 2025
Explore advanced Weibull regression modeling with varying shape parameters in this follow-up reliability analysis. Building upon our previous ceramic bearings life test case study, we ...
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Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis
Shishir Rao
May 15, 2025
Discover parametric regression modeling for reliability data through a detailed analysis of ceramic ball bearings life test data. This article demonstrates Weibull regression techniques in ...
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Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis (Part II)
Shishir Rao
May 8, 2025
This article explores non-parametric testing methods for reliability and survival data analysis. Building on previous work, the author demonstrates how to conduct tests for trend ...
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Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis
Shishir Rao
May 1, 2025
Is there a meaningful difference in failure rates between your component suppliers? Can you prove that recent process improvements actually enhanced reliability? In this technical ...
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Competing Risks in Time-to-Event (or Survival) Analysis–A Tutorial With Code
Shishir Rao
April 24, 2025
Explore competing risks in failure time data through a vehicle shock absorber case study. Learn how to calculate and interpret cumulative incidence functions for different ...
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Association Does Not Imply Causation, Except When it Does – A Causal Inference Perspective
Justin Belair
March 28, 2025
Delving into the critical distinction between correlation and causation, this article explores why establishing true causal relationships remains one of the most challenging aspects of ...
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Selection Bias, A Causal Inference Perspective (With Downloadable Code Notebook)
Justin Belair
February 2, 2025
Collider bias occurs when we condition on (or select based on) a variable that is influenced by both the exposure and outcome of interest. This ...
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