Publications by authors named "Philip Buczak"
Frequency-adjusted borders ordinal forest: A novel tree ensemble method for ordinal prediction.
Br J Math Stat Psychol
December 2024
Article Synopsis
- Ordinal responses are common in psychology and traditionally analyzed using parametric models, but machine learning methods like random forests are gaining traction for better predictive capabilities.
- Despite random forests not inherently handling ordinality, a new method called Frequency-Adjusted Borders Ordinal Forest (fabOF) has been proposed to enhance predictive performance without extensive optimization.
- The study highlights important predictors of student performance, such as interest in higher education and mother's education, and provides an R package for implementing this new methodology.
Many datasets in statistical analyses contain missing values. As omitting observations containing missing entries may lead to information loss or greatly reduce the sample size, imputation is usually preferable. However, imputation can also introduce bias and impact the quality and validity of subsequent analysis.
View Article and Find Full Text PDFRegression models with interaction terms are common models for moderating relationships. When effects of several predictors from one group-for example, genetic variables-are potentially moderated by several predictors from another-for example, environmental variables-many interaction terms result. This complicates model interpretation, especially when coefficient signs point in different directions.
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