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- Title
Handbook of Regression Modeling in People Analytics, With Examples in R and Python.
- Authors
Piñón, Adelson
- Abstract
"The Handbook of Regression Modeling in People Analytics" is a practical and accessible introduction to regression methods in the field of people analytics, with a focus on inferential modeling. The book primarily uses R for implementation, with a few pages dedicated to Python. It covers topics such as the basics of R programming, statistical concepts, linear regression, logistic regression, mixed modeling, survival analysis, and power analysis. The book provides step-by-step instructions and includes examples from various areas, such as charitable donations and speed dating decisions. It also offers practice material, discussion questions, and exercises for readers to reinforce their learning. The author suggests some changes to the book, such as removing the chapter on power analysis and including more essential topics like data cleansing and variable selection. They also encourage analysts to be bold in their approach and consider using one-tailed tests for certain comparisons.
- Subjects
REGRESSION analysis; PYTHONS; STRUCTURAL equation modeling; PYTHON programming language; DATA scrubbing
- Publication
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2024, Vol 187, Issue 2, p544
- ISSN
0964-1998
- Publication type
Article
- DOI
10.1093/jrsssa/qnad116