Exact(12)
The health modeling stage of the two-stage approach included the health models we fit and the measurement error correction methods we employed.
For those company's models, we fit their cars into the rankings based on the highest base prices of which we were aware.
In order to assess the effectiveness of multi-state models when compared to Cox models we fit a non-parametric multi-state model with states representing the proposed stages of bipolar disorder and compared this to a Cox proportional hazards model in which the preceding stage of major depressive disorder is treated as a time-varying covariate (Cox 1972).
To provide a more intuitive and graphical representation of the models, we fit Equations 1 and 2 to the data by a simple regression based alternative to the likelihood approach as shown in Figure 3 (see Methods).
The spline models we fit to each wing allow the instantaneous calculation of any function of wing shape.
Thus, for all of the methods presented we opted to include specific gravity as a covariate in the statistical models we fit.
Similar(47)
To improve the statistical properties of the regression models, we fitted all models to the natural logarithm of the reported risk estimates (Berlin et al. 1993).
On the basis of these models, we fitted the corresponding logistic models in which the cumulative variables were replaced by the indicator variables of their quartiles.
We used the method and R code of [ 121] to fit and rank models: we fitted models using the R function lm, and we calculated the sample-size corrected Akaike Information Criterion (AICc) for each model.
[ 33, 36] The baseline RMDQ score significantly explained 2% of the residual variance in transition rating in the regression models we fitted.
In addition to these models, we fitted models with all medications in the model and a priori selected the following interactions to investigate: oral agents and insulin, insulin and insulin sensitizers; metformin, sulfonylurea and TZDs; insulin, sulfonylurea and TZD.
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