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The structural models we estimate above rely on homotheticity of individual preferences.
By comparing each frame with these models, we estimate two foregrounds.
For this reason two sets (husband and wife) of indicators for the spouses' occupations are included in the models we estimate.
After visual assessment of the input non-MI models, we estimate that the ScalReg model may be affected by slight overestimation of the in vivo prostate volume and thus the scaling factor in combination with the applied isotropic scaling.
To obtain a measure for the predictive performance of the models, we estimate the ROC curves using a 10-fold cross validation procedure.
Using 2SLS and simultaneous equation bivariate probit models, we estimate the effects of delivering in healthcare facility on probability of child survival taking into account self-selection into the treatment.
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In addition, in a third set of models, we estimated associations with Cd modeled as restricted cubic splines with knots at the 10th, 50th, and 90th percentiles.
For 1999 models, we estimated 90,000 miles on the vehicle; for 2004 models, we estimated 71,000 miles.
Differences in attribute perception will appear as preference heterogeneity in the MMNL and LCMNL models we estimated.
Using mixed effects logistic regression models, we estimated intra-class correlation coefficients (ICC) at the reviewer and manuscript level.
In the same models we estimated the association with medications for autoimmune diseases adjusting for correlations between ligand specific stimulation and covariates listed above.
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