Hormone Research in Paediatrics
Original Paper
A New Method to Determine Mean Adult Height from Incomplete Follow-Up Datade Ridder M.A.J.a, b · Stijnen T.b · Hokken-Koelega A.C.S.a, caDutch Growth Foundation, bDepartment of Epidemiology and Biostatistics, Erasmus MC – University Medical Center Rotterdam, and cDepartment of Pediatrics, Division of Endocrinology, Sophia Children’s Hospital, Erasmus MC – University Medical Center Rotterdam, Rotterdam, The Netherlands
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Article / Publication Details
Received: June 05, 2006
Accepted: November 09, 2006
Published online: January 04, 2007
Issue release date: March 2007
Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 4
ISSN: 1663-2818 (Print)
eISSN: 1663-2826 (Online)
For additional information: https://www.karger.com/HRP
Abstract
Background/Aim: In long-term growth studies with adult height (AH) as outcome, reporting is often required while data are incomplete because some participants have not yet reached AH whereas others might be lost to follow-up. Current practice is to analyze only participants who did reach AH, which can easily give biased results. We introduce a new method into the area of growth research. Methods: We used the data of patients from a registration database and a growth study. The new method uses growth data in time intervals. The percentage of children still growing and the mean growth at each interval are used to determine mean AH. Results: With the new method, estimated mean AHs had smaller bias and standard error than with commonly used methods. The method is not hampered by a correlation between AH and age at reaching AH, unlike methods merely using patients who have reached AH. Conclusion: In contrast to commonly used methods, the new method provides valid results on mean AH when complete actual measurements of AH are not (yet) available, provided that drop-out, if any, is not related to (disappointing) growth. As it also uses observed data of children with incomplete follow-up, the method employs the data more effectively.
© 2007 S. Karger AG, Basel
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References
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External Resources
- Lin DY, Feuer EJ, Etzioni R, Wax Y: Estimating medical costs from incomplete follow-up data. Biometrics 1997;53:419–434.
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Article / Publication Details
Received: June 05, 2006
Accepted: November 09, 2006
Published online: January 04, 2007
Issue release date: March 2007
Number of Print Pages: 6
Number of Figures: 1
Number of Tables: 4
ISSN: 1663-2818 (Print)
eISSN: 1663-2826 (Online)
For additional information: https://www.karger.com/HRP
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