Data Science for International Business with R
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Part III: Modelling
Introduction
Part I: Data Science Pipeline
1
Using Positron for Reproducible Research in R
2
Positron and Quarto: A Unified Multi-Language Workflow
3
Programmatic Data Acquisition for International Business Research using R in Positron
4
Data Visualization
5
Business Dashboards with R
Part II: Statistics
6
Data Management for International Business Statistics
7
Exploratory Data Analysis: Foundations and Applications
8
Probability Distributions: The Language of Uncertainty
Part III: Modelling
9
Panel Data Analysis in IB Research and Other Advanced Considerations
10
Logistic Regression in IB Research (1/2)
11
Logistic Regression in IB Research (Part 2 of 2)
12
Unsupervised Learning in IB Research
13
Structural Equation Modeling (SEM)
Part IV: Advanced Modelling
14
Quantile Regression
15
Causal Inference Methods: A Focus on Difference-in-Differences
16
AI and Ethics – Principles, Fairness, and Regulation
17
Conclusion
Appendices
Summary
References
Part III: Modelling
Code
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8
Probability Distributions: The Language of Uncertainty
9
Panel Data Analysis in IB Research and Other Advanced Considerations
Source Code
# Part III: Modelling
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