BMI Z-Score Imputation
Cross-source consensus on BMI Z-Score Imputation from 1 sources and 5 claims.
1 sources · 5 claims
Preparation
Evidence quality
Highlighted claims
- Missing time-varying BMI z-scores were imputed using a separate linear mixed effects model under a missing-at-random assumption. — Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
- Predicted BMI values were generated at creatinine measurement times and transformed into BMI z-scores with the UK90 growth reference through the childsds R package. — Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
- If BMI missingness is not missing at random, the article says more sophisticated missing-data models would be needed. — Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
- The analysis did not conduct sensitivity analyses for missing-not-at-random BMI mechanisms. — Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
- BMI z-scores were calculated using the UK 1990 growth reference because paediatric BMI varies with age and sex. — Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study