We used proportional-odds logistic regression to evaluate the ability of lnLAP to predict liver steatosis, and we considered also alternative pre-specified models that included covariate terms for sex (male vs. female), age (years), SLD (yes vs. no) and ethanol intake (g/day).
Confirmatory factor analysis was used to assess the content validity of a pre-specified factor model that recognizes seven safety factors of the SAQ.
As both case and regulatory law indicate, the preferable form of evidence is human exposures and responses through a well-specified probabilistic model that can be used for prediction.
When attempting to estimate causal effects, it is necessary to have a well-specified epidemiologic regression model that controls for confounding.
A mathematical model that may be used to predict the flash point of multiple component solutions has been proposed and is shown to be adequate for some specified systems, such as ternary solutions.
The conclusions were unchanged in a subsequent model that corrected for pre-specified confounders.
In a few cases was a negative binomial model did not converge at a specified limit (ie, the relative Hessian convergence criterion was greater than 0.0001), a Poisson model that converged normally and provided similar estimates was used instead.
The basic system structure and the rural areas are represented by means of a semi-distributed rainfall-runoff and pollution load model that allows for a user-specified spatial resolution.
The confirmatory factor analysis confirmed the pre-specified factor structure of the model that has been reported by Eltayeb et al. [ 2] with six domains: work station, body posture, job control, job demand, social support, and break time (excluding nine questions).
In the model that included pre-specified variables, a predicted probability threshold of 0.55 yielded a PPV of 87%95%5% CI: 85%, 88%) for identifying high risk for CHD, and a sensitivity of 69%95%5% CI: 67%, 70%); results were similar after adding data mining variables (Table 2 and see Additional file 1: Figure S1, Panel A).
