Sentence examples for analyses of the generalized from inspiring English sources

Exact(1)

In the analyses of the generalized linear mixed model, the covariance for individual identity (among-individual variance) and the residual (within-individual variance) were estimated for each type of response.

Similar(59)

A series of multiple linear regression analyses using the generalized estimating equations (GEE) method was conducted to assess whether sleep complaints at baseline were associated with clinical outcome measures (depression symptom severity, suicidality/self-harm symptoms, overall psychosocial functioning, anxiety symptoms) at follow-up.

Longitudinal regression analyses utilized the generalized estimating equations (GEE) model controlling for autocorrelation, day of week, outdoor fungi, and weather.

Depending on the parameters used, analyses of the Northern Andes data generated several patterns including 3 to 27 generalized tracks.

All regression analyses used the generalized estimating equations (GEE) technique to account for correlation from the clustering of multiple patient charts contributed by the same pulmonologist.

Statistical analyses of the data were based on generalized linear models (GLM) unless otherwise stated.

Regression analyses based on the generalized estimating equation (GEE) approach were conducted to assess the significance of the differences among groups.

For example, in the control arm, the probability of a high-risk participant transitioning to the low-risk class was 32%%, and in the PEI arm the probability was 31 %.> -wrap-foot> aMost likely class based on posterior probabilities The results of the generalized linear model analyses on the posterior probabilities of the outcome classes are shown in Table  4.

Based on video analyses of the Making-based class sessions, a generalized process model was developed for each type of science model.

However, analyses based on the generalized UniFrac distances are shown to be more robust and has overall the best performances across a range of possible scenarios.

Data were analysed using the generalized linear model procedure (SAS Institute, 2003).

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