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This conjoined weight variable was used to run crude and adjusted generalized linear mixed models (with identity link for rate differences, and negative binomial distribution for rate ratios) to compare adulthood outcomes among different adolescent volunteer groups.
Response variables followed normal, binomial, or Poisson distributions and were fitted in models with identity, logit, and log link functions, respectively.
Generalized linear models with identity link and Gaussian errors were applied to estimate the expected death counts for each cause of death separately.
Similarly, to compare means by dataset and obtain crude and adjusted p-values, we used univariate and multivariate GEE regression models with identity link function for continuous responses.
In addition, the goodness of fit of models with identity link (piecewise linear models) or log-link (for calculating annual percentage increases) was compared.
18 Normal likelihood models with identity link functions were used in the comparisons of best corrected visual acuity and central macular thickness to calculate mean differences between interventions.
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Genome scans were performed at parental level by modeling QTL effects as random terms in linear mixed models with identity-by-descent (IBD) kinship matrices.
Cox prop: CGPM with a Cox model without treatment time dependent effect; Cox TD: CGPM with a Cox model with treatment time dependent effect; PV identity Z const: Pseudo-value model with identity link and constant treatment effect RD PVV identity Z TD: Pseudo-value model with identity link and time dependent treatment effect.
3. The data at time points t ∈ {1, 2,..., 20} was generated recursively according to the VAR model with identity random noise matrix Σ = I.
The model included the random terms dog and litter (to take account of possible similarities between littermates), with a correlation between successive samples (within an individual dog) accounted for via use of an appropriate correlation structure (determined using graphical methods of residuals from a model with identity correlation structure).
Generalized linear models (Tweedie model with Identity link function) were used to analyze the relationships between main outcomes (length of stay in the hospital and time in use of supplemental oxygen) and the predictor variables (virus detection [yes/no], sex, age, prematurity (i.e. <37 weeks of gestation), maternal smoking during pregnancy, family asthma).
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