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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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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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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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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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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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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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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