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In the first, generalized linear models with log link functions and binomial error distributions (log-binomial models) were fit.
cPoisson regression models with log transformation was used.
We used generalised linear models with log link with the Bernoulli family, that is, we modelled the PR.
Poisson models with log links are often called log-linear models and are used for frequency data.
We used Poisson-lognormal generalized linear mixed models with log link function to estimate the effect of co-twin sex on female LBS.
Separate models with log transformed response and combination of log transformed and non-transformed predictor variables were fitted for each of the plot sizes.
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Modelled estimates, and significance of change, were assessed using linear regression models, with log-transformed cotinine values as the dependent variable.
Gamma regression models with log-link function were fitted separately for each study country to explore the relationship between various factors hypothesized to have an impact on total healthcare costs over 3 months (CM status, MIDAS disability scores, headache intensity, and comorbidities).
Fracture network models with log-normal distributions of apertures have been widely used to simulate experiments and derive theoretical relationships (Charlaix et al. 1987; Feng et al. 1987; Long and Billaux 1987; Dverstorp and Andersson 1989; Cacas et al. 1990a, b; Tsang et al. 1996; Margolin et al. 1998; de Dreuzy et al. 2001b).
β coefficients from models with log-transformed outcomes were back-transformed and reported as % with 95 CI.
Proportionality of hazards was assessed for the Cox models with log-minus-log plots.
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