Data quality control in longitudinal epidemiologic studies: conditional studentized residuals from linear mixed effects models for outlier detection in the setting of pediatric chronic kidney disease

Author:

Ng Derek K.,Patel Ankur,Cox Christopher

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of Child Health and Human Development

Children's Hospital of Philadelphia

University of Missouri-Kansas City

Medical Center, University of Rochester

National Heart, Lung, and Blood Institute

Publisher

Elsevier BV

Subject

Epidemiology

Reference20 articles.

1. Quality assurance and control;Szklo,2019

2. A primer in longitudinal data analysis;Fitzmaurice;Circulation,2008

3. Time-varying coefficient of determination to quantify the explanatory power of biomarkers on longitudinal GFR among children with chronic kidney disease;Ng;Ann Epidemiol,2018

4. Kidney disease progression in children and young adults with pediatric CKD: epidemiologic perspectives and clinical applications;Ng;Semin Nephrol,2021

5. Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents;Boone-Heinonen;Ann Epidemiol,2019

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