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The mean value of optimised k for models using random forest was 18 (range 8 48) while for k-MSN models, the mean value of k was 35 (range 9 58).

The results in OLS and IV models (using random contractor assignments as instrumental variables) differ: while OLS estimates show that temporary-help jobs increase earnings and employment of welfare clients relative to nonparticipants in the program, no statistically significant effects are obtained from IV.

We further accounted for the clustering of patients within hospitals with models using random effects.

Additionally, we generate models using random feature subsets in order to obtain a feature importance measure that is consistent across machine learning techniques.

The associations between the selected home characteristics and microbial parameters in mattress dust were assessed using linear mixed models, using random effects.

Although, profile models using BIOCLIM and ENFA still performed reasonably well in terms of AUC, they were outperformed by the multiple logistic regression models using random pseudo-absences.

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Similar(51)

We combined the effect estimates and standard errors from the community-specific Poisson regression models using random-effects meta-analysis to obtain an overall effect across the study domain (Berkey et al. 1998).

All regression models used random intercept to account for clustered data within participants, and case as a repeated measure.

The observed outcome of farmers' adoption decision can be modeled using random utility formulation.

Uncertainty is usually modeled using random variable with certain probability distribution.

The spatial fluctuation of material properties is commonly modeled using random fields.

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