Sentence examples for models for matched from inspiring English sources

Multivariable mixed models for matched pairs analyzed differences in language levels between groups.

Because of these differences in educational attainment, we estimate separate search models for matched individuals given three educational levels less than high school, vocational education, and high school.

Point and interval estimates of odds ratios were obtained by fitting conditional logistic regression models for matched sets.

The total direct medical costs were similar between the atypical and typical cohorts before ($1661 vs. $1892, P = 0.100) and after matching ($1711 vs. 1868, P = 0.341), consistent with the results from OLS and GLM models for matched cohorts.

For the individual diuretic drugs, we fitted two conditional logistic regression models for matched pair analysis for each case group (BCC, SCC and MM vs controls) and prescription of diuretics.

Exposure variables showing any indication of differing within the matched pairs in either comparison (p < 0.2), in addition to selected parameters of cooking fuel use, were included in initial sex-specific conditional logistic regression models for matched pairs of case vs non-eye-disease control and of case vs non-cataract eye-disease control.

Different models for matching grants exist.

Upon analysis of the performance of these different levels, it can be concluded that the level 4 and 5 complexities, which include depth, soil phosphorus, and sawgrass interaction parameters, are the most suitable models for matching the historical data.

Some proposed models for matching structure and function used probabilistic approaches that produced findings inconsistent with known anatomic facts--linking superior visual field defects to superior optic disc abnormality, for instance[ 12- 16].

Multivariable analysis of variance was performed using a mixed linear model for matched observations.

All risk factors with p < 0.05 by univariate analysis were included in a multivariate, conditional, logistic regression, stepwise selection model for matched data.