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Table 4 presents final models for logistic regressions comparing first those reporting lifetime NSSI, and then those reporting lifetime nonsuicidal cutting, to non-injurers for the overall sample and then stratified by gender.
The R project for Statistical Computing (R, version 2.2.1) was applied for, and its survey Package, available through the Comprehensive R Archive Network family of internet sites (www.r-project.org), was run for the analysis of data using survey-weighted generalized linear models for logistic regression analysis.
We compare our LP method to the least angle regression method [ 29] for building Lasso models for logistic regression.
Implementation of all methods except CC and SImode required estimation of additional models for logistic regression and MI also required additional simulations.
The inadequancies of these analyses are noted, and a new class of mixture models for logistic response structures is introduced to overcome the noted shortcomings.
To account for correlation of nitrate intake by geographic location, mixed-effects (random-effects) models for logistic regression were used with mothers nested within cities of residence (nearest city, if rural address) (Goldstein 2010).
Similar(53)
A computational model of decitabine-response was built using the generalized linear model for logistic regression.
Factors associated with the outcome measure "lameness grading" were analyzed using generalized linear mixed model for logistic regression.
Variables that were significant at the level of P < 0.2 were then entered into a model for logistic regression to control for confounding.
The independent variables that were significantly associated with each dependent variable were potential confounders and were entered into a model for logistic regression.
This function selects the best model for logistic regression (we choose the family as binomial) by using 10-fold cross validation on the training set alone.
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