applied statistics

Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis: Part II

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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accelerated life testing

Parametric Modeling of Failure Time Data in Time-to-Event (or Survival) Analysis

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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analytical methods

Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis (Part II)

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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censored data

Statistical Hypothesis Testing of Failure-Time Data in Time-to-Event (or Survival) Analysis

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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Collaborator

Competing Risks in Time-to-Event (or Survival) Analysis–A Tutorial With Code

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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Blog

Association Does Not Imply Causation, Except When it Does – A Causal Inference Perspective

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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biostatistics

Selection Bias, A Causal Inference Perspective (With Downloadable Code Notebook)

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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