Metoda dynamického fenotypu - analýza longitudinálních dat růstu
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F08%3A00026235" target="_blank" >RIV/00216224:14310/08:00026235 - isvavai.cz</a>
Výsledek na webu
—
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dynamic Phenotype Method - Analysis of Child and Adolescent Longitudinal Growth Data
Popis výsledku v původním jazyce
The human growth (measured by time dependent body length or body weight) from birth to maturity is divided into three separate components - infancy, childhood and puberty. Each of the component is affected by two genetically determined processes - anabolism and catabolism. Hence, the growth should be described at least by nine parameters, namely the size at birth, two time instants separating the growth curve components and three pairs of parameters characterizing the anabolism and catabolism processesfor each of the growth curve component. But two continuity conditions reduce the number of parameters to seven. The aim of the contribution is to present a growth model expressed by a piecewise logistic function, to describe a method for estimation of its parameters from data and to demonstrate - using data collected in the Brno (Czech Republic) longitudinal study of child and adolescent growth - that the seven parameters characterize an individual growth in a sufficient way.
Název v anglickém jazyce
Dynamic Phenotype Method - Analysis of Child and Adolescent Longitudinal Growth Data
Popis výsledku anglicky
The human growth (measured by time dependent body length or body weight) from birth to maturity is divided into three separate components - infancy, childhood and puberty. Each of the component is affected by two genetically determined processes - anabolism and catabolism. Hence, the growth should be described at least by nine parameters, namely the size at birth, two time instants separating the growth curve components and three pairs of parameters characterizing the anabolism and catabolism processesfor each of the growth curve component. But two continuity conditions reduce the number of parameters to seven. The aim of the contribution is to present a growth model expressed by a piecewise logistic function, to describe a method for estimation of its parameters from data and to demonstrate - using data collected in the Brno (Czech Republic) longitudinal study of child and adolescent growth - that the seven parameters characterize an individual growth in a sufficient way.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
BB - Aplikovaná statistika, operační výzkum
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/LC06024" target="_blank" >LC06024: Centrum Jaroslava Hájka pro teoretickou a aplikovanou statistiku</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2008
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů