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Öğe Gender-specific modeling of growth profiles in pre-school-age children(Türkiye Klinikleri, 2020) Koçak, Mehmet; Wolde, Alemayehu; Tylavsky, Frances A.Objective: In pediatric clinical trials and cohort stu ies, actual height, weight and head circumference of children at a specific age may be required for certain developmental assessments such as energy expenditure. This necessitates the choice of a growth model with desired characteristics to predict height weight accurately. Material and Methods: we compared Logistic and Gompertz models, which are most commonly used growth curve models literature, using different parameterization and in a race and gender specific fashion on actual participant data from the CANDLE study, which is a prospective birth cohort of motherCounty, Tennessee, USA. We compared these competitive models and different parameterizations in terms of the size of the as well as prediction standard error, for each anthropometric mea urement, namely, height, weight, and head circumference. We also assessed the impact of missing data on these models. have shown that Gompertz model with the first or rameter defined with a subject-specific random effect is the best model in terms of prediction accuracy. Although the same Gompertz model fitted on each individual profile without a random effect also has similar prediction accuracy, it has in error of estimation as expected, thus, not recommended to be used. Conclusion: We conclude that Gompertz model with only the first or the second parameter defined with a random effect performs the best with and without missing data for heig circumference growth in the first four years of life.











