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Finally, the presence or not of a psychological or social diagnosis was analysed using a binomial logit model.
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Generalised linear models using a binomial distribution and logit link were used to analyse the stem and foliar pathogen recovery data, which were recorded as binary responses.
These models used presence/absence of totara as the dependent variable, and were fitted using a binomial distribution and logit link function that included an exponential spatial covariance error structure.
We parameterized the model using a binomial response distribution, logit inverse link function, and constant subject-specific random effect (detailed information on the model, estimation procedure, and code are available upon request).
Models were fitted using a binomial distribution with logit link.
We used the statistical software R Ver. 2.8.1 [79] to construct a series of Generalized Linear Models (GLMs) using a binomial function with a logit link.
Models 2 and 4 were fitted using a binomial error structure and logit link function.
We modelled the binary response variable infection status using a binomial distribution with a logit link function.
For fertilization rate and embryo quality, estimates of the rate ratio (RR) were obtained for each quartile compared with the lowest quartile using a binomial distribution with a logit link.
Using a binomial GLM with canonical logit-link, we modeled the protection index as a function of covariates.
In addition to our tests for predictors of the protection index, we therefore also tested the effect of measured covariates on the odds of increased hand washing using a binomial GLM again with canonical logit-link.
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