Best Regression Modelling Books | The Full List
Master advanced regression analysis with our comprehensive guide to eleven essential textbooks covering everything from foundational ANOVA and linear regression to cutting-edge Bayesian hierarchical methods ...
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Best Statistical Sampling Theory Books | The Full List
Navigate the complex world of sampling theory and survey methodology with our comprehensive analysis of fourteen essential books covering everything from foundational sampling techniques to ...
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Best Introduction to Statistics and Data Analysis Books | The Full List
Discover the fundamentals of statistics and data analysis with our comprehensive review of seven essential books that make complex mathematical concepts accessible to everyone. From ...
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Causal Modeling Helps Machine Learning Find Better Drug Targets
In the rapidly advancing field of drug discovery, artificial intelligence and machine learning are revolutionizing how researchers identify potential therapeutic targets. While traditional predictive models ...
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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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