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Due to the size of the problem we only present the estimated bivariate survival probabilities (hat {S}(hat {Q}_{x} u_{x}),hat {Q}_{y} u_{y}))) evaluated at the marginal quartiles as provided in Table 5.
The results were similar to those from model 2. Because the estimated effects of temperature variability differed with PM10 levels, we present the estimated coefficients of model 3 instead of relative risks (Table 2).
We used the restricted maximum likelihood (REML) as our model estimation method and present the estimated means and difference between treatments and their respective standard error means (SEs).
In Figure 3, we present the estimated median OS vs the observed OS in phase III RCTs using Bort- or Len-based regimens for the treatment of relapsed/refractory MM.
Appendices XIII and XIV present the estimated coefficients and the marginal effects, respectively.
First, we present the estimated effect of the refugee inflows on the labor market status of native individuals.
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Table 2 presents the estimated coefficients.
Table 6 presents the estimated regression coefficients of the ordered probit models.
Table 7 presents the estimated results of the frequency of speeding model.
Table 2 presents the estimated results for four pollutants, namely SO2, NOx, PM10, and CO2.
Table 6 presents the estimated competition effects from our preferred specification with match fixed effects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com