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Logistic regression models of variables associated with treatments received and dropout during the depressive episode.
Across the multiple frameworks, core implementation concepts have emerged and detailed models of variables within these concepts explored; however, there seems no simple high level illustration of these overarching concepts.
We examined associations between variables and outcomes in bivariate and then multivariate analysis based on the Mantel Haenszel procedure [ 20], using a step-down approach to final models of variables significantly associated with the outcome.
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Models of variable parameter flow processes are derived and their control is discussed.
Common forms for dependence, or autocorrelation, of disturbances are moving average or autoregressive models of variable order [7].
When the residuals are not independent, the model for the observations must be altered to account for dependence (e.g. moving average or autoregressive models of variable order).
Because a very high divergence can reduce the power for the detection of positive selection under models of variable ω ratios among sites [79], we excluded the sequence of fish and rodents, leaving other sequences in the dataset.
Many of such cells models of variable complexity exist; see, for example, [ 23] for a recent review.
(Homology three-dimensional models of variable domains of antibodies were built using standard commercial software (Accelrys's Discovery Studio Biovia).
Table 2 lists parameter estimates and log-likelihood values under models of variable ω ratios among sites.
To test for heterogeneous selective pressure among lineages [ 50], models of variable ω ratios among lineages were fitted by ML to the NIP sequence alignment.
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