Exact(21)
In this note we provide the only method for estimating a bivariate survival function such that the marginal estimators correspond exactly to the Kaplan-Meier product limit estimators such that there is a relative consistency between the marginal estimates derived via univariate or bivariate methods.
In contrast, the marginal estimates of VANDU's unsanctioned SIF result in a much smaller return, both in its benefit-cost and cost-effectiveness ratios.
Moreover, when the second mathematical model is considered, as outlined in Table 4, averted cases of HIV account for a substantial difference between the economic evaluation of SIFs – especially in terms of the cumulative versus the marginal estimates.
In contrast, the marginal estimates of VANDU's SIF expansion, based on the the second model, result in a much smaller return, in both benefit-cost and cost-effectiveness ratio.
Within-year marginal estimates of day time selection for road density were positive (i.e., elk selected for higher road density) in 3 of 4 years.
Conditional estimates also provide information on why marginal estimates may be counter-intuitive, or how individuals assemble to comprise the marginal estimate.
Similar(39)
For example, the marginal estimate of selection for road density in our study indicated that elk selected for higher road density in 3 of the 4 years comprising the study period (Figure 5).
This was twofold greater than the marginal estimate of 1.7.
Plus the marginal estimate is closer to 0 than the mixed estimate.
To estimate the absolute risk of cardiovascular harm for rosiglitazone relative to pioglitazone, we used the fitted Cox proportional hazards model to derive a marginal estimate of the number needed to treat to harm.
The 2.5 and 97.5 percentile of the 1,000 estimated marginal difference estimates by bootstrapping the two-part model with 1,000 iterations were used to construct the 95% confidence interval (CI) for statistical significance.
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