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We discuss each compared parameter individually and exact semantics of the comparison.
Because of these age and social differences, our model (below) compared parameter estimates for "school" and "urban" populations.
To ensure that our results were not dependent on the distributional properties of the model, we compared parameter estimates from Cox models to those using Gompertz or Weibull models.
Using this outcome, we compared parameter estimates from the proposed random effects meta regression (REMR) with estimates based on simple random sampling and VISN Veterans Integrated Service Networkss) based stratified sampling of the full data.
This procedure is a strength of the study and does not influence the comparability between urologists' and patients' stated preferences as long as the ratios between parameters are compared (parameter ratios do have a natural interpretation in terms of the relative importance of attributes, and rule out a possible difference in the scale parameter; Swait and Louviere, 1993).
Furthermore, we compared parameter sets inducing a high switching probability in only one direction but a low probability in the reverse direction (i.e. a comparison of parameters in the upper left corner to the parameters in the lower right corner in Fig. 5 a).
Similar(54)
Previously we compared parameters of lung inflammation following M. tuberculosis infection in I/St mice with those in mice of TB-resistant A/Sn strain.
There were no statistical differences between compared parameters mentioned earlier.
We assessed the correlations among the compared parameters using nonparametric Spearman's rank coefficient (Rs).
The mean values were considered significantly different when result of compared parameters differed at P = 0.05 significance level.
This suite of benchmark problems can be readily used to evaluate and compare parameter estimation methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com