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However, we can compare the RSS and AIC for models fit assuming normally distributed errors.
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The performance of the three approaches under model misspecification was examined by generating longitudinal profiles that were quadratic in nature, while the models fitted assumed linear trajectories.
An additional model has been fit assuming the mean response in each group to be the same for treatment arms and control arms.
These data will be simultaneously fit, assuming this model.
The linear model we fit assumes a constant rate of change in log10 C-peptide concentrations with time since diagnosis.
In modeling the overdispersion, analogous regression models were fitted assuming that the larva density followed a negative binomial distribution (Eqs. 8a/8b), and a zero-inflated Poisson distribution (Eqs. 9a/9b).
Three separate models were fitted assuming different functional forms of the incidence curve G(s).
Models were fitted assuming three parametric forms of the incidence curve and under nine different assumptions regarding combinations of trends in non-AIDS mortality and patterns of survival post-infection with HIV.
Separate models were fitted assuming: (i) a constant seasonal pattern across the 3 years of the study by taking t=1,…,12; or (ii) a continuous time for the entire study period by taking t=1,…,36.
Finally, the model was fitted assuming k = 0.4 and two different values for c1, 0.05 and 0.01. Figure 3 shows occupancy curves for various values of c1 generated with equation (13), starting from 2062 trees per hectare at breast height.
Then, a threshold animal model was fitted, assuming a probit link function.
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