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Relative risks were estimated by exp, where β is the hazard coefficient for the variable of interest in a Cox's proportional hazards regression model with the maximum likelihood ratio method.
Relative risks were estimated by exp, where β is the hazard coefficient for the variable of interest in a Cox proportional hazards regression model, using the maximum likelihood ratio method and a backward stepwise elimination procedure.
Relative risks were estimated by exp, where β is the hazard coefficient for the variable of interest in a Cox's proportional hazards regression model [ 22] with the maximum likelihood ratio method and the use of a backward stepwise elimination procedure in analyses adjusted for age only, and in a final model including also other potentially relevant variables.
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A Weibull model described the underlying baseline hazard for the observed survival data (λ hazard coefficient, α shape factor; Eq. 3, Table 2 ).
For example, Cox proportional hazard coefficients can be modelled as such [ 60], given appropriate specifications.
The Raftery-Lewis diagnostic, see Mansmann [ 31], was calculated for regression and baseline hazard coefficients.
There were phases of no sampling in the Metropolis-Hastings steps for the log baseline hazard coefficients.
Weighted hazard ratio coefficients for all analyses were computed using unadjusted data.
To test for the presence of induced tolerance to carbaryl in the populations, we used Cox regression analyses (SPSS 21) to calculate a hazard regression coefficient (b) for each population that compared the survival of naïve individuals to the survival of exposed individuals.
With Weibull model for ln(Y), the regression coefficients correspond directly to the log of hazard ratios so that a negative coefficient for a particular covariate corresponds to a higher risk of hospitalization occurring.
The time dependent coefficient for a given variable allows the hazard ratio of an event to change during the 10 year study period.
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