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In evolutionary game theory, the effect of public goods like diffusible molecules has been modelled using linear, concave, sigmoid and step functions.
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CD4 cell count at viral set-point was modelled using linear regression models.
The dynamics of the variables was modelled using linear mixed-effect models with a random intercept and slope and compared [23].
Independent predictors were modelled using linear and logistic regression analyses.
Associations between dependent and independent variables were modelled using linear regression.
The relationship between component scores and psychosocial scales was modelled using linear regression.
The indices for antenatal care and newborn care practices followed largely normal distributions and were modelled using linear regression.
Log-transformed data of AUCtau were modelled using linear regression with a fixed term for age group, which is identical to a simple t test comparing age groups.
It was approximately normally distributed and was modelled using linear regression in relation to covariates including age at study entry, occupational position, region of residence and partner's smoking habit.
The effective sample size required to test whether a gene main effect is associated with a continuous trait for 99% power, α = 0.05 (two-sided test), assuming outcomes that are modelled using linear regression (mean = 0.153, SD = 0.10, genetic effect = 0.01, MAF = 0.05) is 1,828, which is given in our study.
The radiator has also been modelled using EES.
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