Using classification and regression trees to model missingness in youth BMI, height and body mass data
Introduction Research suggests that there is often a high degree of missingness in youth body mass index (BMI) data derived from self-reported measures, which may have a large effect on research findings. The first step in handling missing data is to examine the levels and patterns...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Health Agency of Canada
2023-05-01
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| Series: | Health Promotion and Chronic Disease Prevention in Canada |
| Online Access: | https://www.canada.ca/en/public-health/services/reports-publications/health-promotion-chronic-disease-prevention-canada-research-policy-practice/vol-43-no-5-2023/using-classification-regression-trees-model-missingness-youth-bmi-height-body-mass-data.html |