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A comparable first-generation model generates estimates of $134 for good and $160 for flawless.

The model generates estimates of pneumococcal disease cases avoided, deaths averted, cost differences, and QALYs gained for a policy of PCV13 pediatric vaccination versus a policy of PCV7 pediatric vaccination.

Combining country-specific or region-specific data on the incidence of rotavirus deaths, ratios of outpatient visits or hospitalizations to rotavirus deaths, and serotype distribution, the model generates estimates for the reduction in rotavirus related events requiring medical treatments (i.e., outpatient clinic visits and hospitalizations) or leading to deaths.

The regression model generates estimated CPI values at different core frequencies, as shown in Figure 13.

This model generated estimates for the amount of carbon dioxide escaping from a given swath of water at a specific time.

The model generated estimates for the costs per patient and the total direct costs of treatment including drug and medical costs based on market shares and other input parameters.

Furthermore, existing soil organic C (SOC) models generate estimates with uncertainties that may exceed 50%.

The Rasch model generates two estimates, called person location (or logit) and item location (or logit), which are nonlinear (log odds) transformations of raw scores.

In addition, a generalized model would generate estimates of (co variance components on a latent scale that would not readily be combined with estimates of selection gradients to predict the response to selection (Δ z ¯ ).

The imputation model generates an estimate of 12% for population HIV prevalence, which is substantially smaller than the 20% estimate from the fixed effects model.

Consistent with the analytic protocol, we used SAS proc mixed to create a multi-level, linear regression model that generated estimates of efficacy adjusting for the clustered and the stratified study design.