Best Causal Inference Books | The Full List
The collection of works on causal inference and research design presents a comprehensive spectrum of approaches, methodologies, and applications across various fields, including epidemiology, economics, ...
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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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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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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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Introduction to Time-to-Event (or Survival) Analysis–A Tutorial With Code
This article provides an introduction to time-to-event analysis, examining vehicle shock absorber failure data through survival modeling techniques. The author demonstrates how to estimate survival ...
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The Battle For The Soul Of Causal Inference
Explore the decades-long intellectual rivalry shaping how we understand causality in data science. This analysis examines the fundamental tension between two giants of causal methodology: ...
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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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