A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice?
Tekijät: Li Zhingue, Toppari Jorma, Lundgren Markus, Frohnert Brigette I, Achenbach Peter, Veijola Riitta, Anand Vibha; T1DI study group
Konferenssin vakiintunut nimi: AMIA Annual Symposium
Kustantaja: American Medical Informatics Association
Julkaisuvuosi: 2021
Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Kokoomateoksen nimi: AMIA Annual Symposium Proceedings 2021
Tietokannassa oleva lehden nimi: AMIA ... Annual Symposium proceedings. AMIA Symposium
Lehden akronyymi: AMIA Annu Symp Proc
Sarjan nimi: AMIA ... Annual Symposium proceedings
Vuosikerta: 2021
Aloitussivu: 754
Lopetussivu: 762
ISSN: 1559-4076
eISSN: 1942-597X
Verkko-osoite: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861671
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/174959224
This study investigates a missing value imputation approach for longitudinal growth data in pediatric studies from multiple countries. We analyzed a combined cohort from five natural history studies of type 1 diabetes (T1D) in the US and EU with longitudinal growth measurements for 23,201 subjects. We developed a multiple imputation methodology using LMS parameters of CDC reference data. We measured imputation errors on both combined and individual cohorts using mean absolute percentage error (MAPE) and normalized root-mean-square error (NRMSE). Our results show low imputation errors using CDC reference. Overall height imputation errors were lower than for weight. The largest MAPE for weight and height among all age groups was 4.8% and 1.7%, respectively. When comparing performance between CDC reference and country-specific growth charts, we found no significant differences for height (CDC vs. German: p =0.993, CDC vs. Swedish: p=0.368) and for weight (CDC vs. Swedish: p=0.513) for all ages.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
