Sentence examples similar to modelling for birthweight from inspiring English sources

We fit linear models for birthweight and generalized linear models with a Poisson distribution and a log link function for low birthweight and anthropometric measures.

Parameters in a 4-component normal mixture model for birthweight distribution are estimated, based on 25 samples of size 50,000 from the population of white singletons in general.

Then, given a fitted k-component mixture model for birthweight distribution, we could apply PMLR with dichotomized gestational age or IUGR rather than mortality as the dependent variable.

The second extension would be to retain the univariate normal mixture model for birthweight distribution but create auxiliary models to relate covariates, such as gestational age, to mixture components.

Maternal height, weight, ethnicity, parity, neonatal gestation at delivery and baby's sex were taken into account in the definition for customized birth centile, and were adjusted for in the model for birthweight.

Parameters in 2-component through 7-component normal mixture models for birthweight distribution are estimated, based on 25 samples of size 50000 from the population of black singletons in general.

Parameters in a 4-component normal mixture model for birthweight distribution are estimated, based on 25 samples of size 50000 from the population of white singletons born to heavily smoking mothers.

We propose a normal mixture model for birthweight distribution in which the number of components is not fixed a priori but rather determined from the data using the Flexible Information Criterion FLICC) (Pilla and Charnigo, Consistent estimation and model selection in semiparametric mixtures, submitted) or another model selection technique [ 25, 26].

The columns "FLIC 5000", "BIC 5000", and "AIC 5000" contain the preferences of the three model selection criteria for the number of components in a normal mixture model for birthweight distribution, based on 25 samples of size 5000 from the population of white singletons born to heavily smoking mothers.

Using PROC GLM in SAS we constructed a 4th power model of birthweight per gestational age (to mimic Marsal's 4th power model) for the years 1974 to 1977 to estimate a more correct distribution of gestational age for the different values.

In multilevel regression models of birthweight on the five segregation dimensions, isolation and clustering were significantly associated with birthweight in opposite directions.