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A base model was fitted that included maternal education (years), smoking (yes/no), dietary intakes of calories (kilocalories), calcium (milligrams), and iron (milligrams) during pregnancy; and infant gestational age (weeks) and weight (kilograms) at birth, birth order, sex, and child's concurrent age (years), height (centimeters), and body mass index (BMI; kilograms per square meter).
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We conclude that our base model is fit for the purpose of describing the expected rates of IFs.
First, among women, unadjusted base models were fitted to examine own associations of each specific working condition with all-cause disability retirement.
For mapping, a base linear model was fitted using ordinary least squares (OLS) estimation with EQ-5D index as the dependent variable and age, sex and a proxy for disease stage as explanatory variables in the model using the estimation dataset.
For each sample of the bootstrap, the logistic model was fitted based on significant variables in the derivative phase, and prediction scores based on ORs and parameters (i.e. predicted probability and the C statistic) were estimated.
The model was fitted based on projections over pairs of consecutive measurements.
One field plot at a time was excluded from the dataset, and the model was fitted based on n-1 plots to predict the AGB of the left out plot.
Our final model was fitted based on five multiply imputed datasets using Rubin's rules to combine effect estimates and standard errors to allow for the uncertainty due to imputing missing data.
Our final model was fitted based on multiply imputed datasets using Rubin's rules to combine effect estimates and estimate standard errors to allow for the uncertainty because of missing data.
Our final model was fitted based on five multiply imputed datasets using Rubin's rules to combine estimates and standard errors to allow for the uncertainty due to imputing missing data.
The growth and yield model developed by Nishizono (2010), which is based on the Chapman-Richard's model, was fitted to Douglas-fir and western hemlock data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com