Prediction in Medicine by Integrating Regression Trees into Regression Analysis with Optimal Scaling
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Summary
A new data-analysis strategy is proposed to solve the problems of selecting interaction terms in linear regression and statistically testing the significance of regression trees, indicating that trunk variables can be useful to model interaction effects in prediction problems.
- Type
- article
- Published
- 2001-01-01
- Cited by
- 20
- References
- 31
- OpenAlex
- https://openalex.org/W83129913
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:46344742
Keywords
Regression analysis, Regression, Regression diagnostic, Linear regression, Statistics
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- Monotone Regression Splines in Action
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- Multivariate Analysis (Techniques for Educational and Psychological Research)
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Cited by
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- Accounting students’ information disclosure decisions: is there a need for changing the status quo on disclosure through accounting education?
- Diagnosis of Glaucoma by Indirect Classifiers
- The regression trunk approach to discover treatment covariate interaction
- Does Drug-target Have a Likeness?
- Data mining in health and medical information
- Appropriate medical data categorization for data mining classification techniques
- Risk modeling strategies for pharmacogenetic studies.
- Median Regression Tree for Analysis of Censored Survival Data
- A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions
- Replacement of meat by meat substitutes. A survey on person- and product-related factors in consumer acceptance.
- Improving the fit of new annual pasture legumes in Western Australian farming systems: experience from Cadiz and Casbah
- Electronic-Based Patient-Reported Outcomes: Willingness, Needs, and Barriers in Adjuvant and Metastatic Breast Cancer Patients
- Factors That Influence Consumer Buying Behavior of Fresh Packaged Food in Tunisia
- Secrets to design an effective message on Facebook: an application to a touristic destination based on big data analysis
- Can the prediction model using regression with optimal scale improve the power to predict the Parkinson's dementia?
- Establishment of hypertension risk nomograms based on physical fitness parameters for men and women: a cross-sectional study
- Development of a machine-learning model for patient satisfaction prediction in lumbar spinal stenosis surgery: A multicenter study with ZCQ and JOABPEQ scores.
- Time budget pressure and auditor dysfunctional behaviour within an occupational stress model
- Overview of Predictive Modeling Approaches in Health Care Data Mining
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