The effect of missing data in growth curves
Background and Objective: Applying the growth curve is the most powerful way for monitoring the growth in children and through this method it would be possible to recognize in time the deviation from the natural growth pattern in children. Falling the data and missing values are general problems in...
Guardado en:
Autores principales: | M Haji Ahmadi, M.T Ayatollahi, J Behboodian |
---|---|
Formato: | article |
Lenguaje: | EN FA |
Publicado: |
Babol University of Medical Sciences
2004
|
Materias: | |
Acceso en línea: | https://doaj.org/article/811a4a2104744411b3b5da2c72e365a5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Missing Value Imputation of Time-Series Air-Quality Data via Deep Neural Networks
por: Taesung Kim, et al.
Publicado: (2021) -
ESTIMATION OF MISSING VALUES USING OPTIMISED HYBRID FUZZY C-MEANS AND MAJORITY VOTE FOR MICROARRAY DATA
por: Shamini Raja Kumaran, et al.
Publicado: (2020) -
The Influence of Missing Data on Disabilities in Patients Treated with High-Dose Spinal Cord Stimulation: A Tipping Point Sensitivity Analysis
por: Lisa Goudman, et al.
Publicado: (2021) -
Compensatory growth in Nile tilapia Oreochromis niloticus: feed conversion ratio, size heterogeneity, and proximal composition
por: Poot-López,Gaspar Román, et al.
Publicado: (2020) -
Growth patterns and nutritional status of small for gestational age infants in Malaysia during the first year of life
por: Norain Ahmad, et al.
Publicado: (2021)