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Only then should you move onto two, three, or more variables and more complex regression models.
The nonnegative garrote method is a powerful variable selection method, developed originally for linear regression but recently successfully extended to more complex regression models.
A tool accessible to all users, irrespectively of their statistical knowledge, would be valuable if it tests several simple and complex regression models and validation schemes, produce unified reports, and offer the option to be integrated into more extensive studies.
However, it should be noted that the Finnish sample is also the smallest, and may thus have insufficient power in the more complex regression models.
While the complex regression models are well suited for modelling variation in utilization associated with risk factors, they cannot be easily interpreted.
In SEM we are testing complex regression models, therefore the stronger the coefficient is, the more the independent variable is predicted by the dependent one.
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Watson's wagers are based on the confidence levels of its potential answers and a complex regression model.
Gerald Tesauro, one of the IBM researchers who worked on Watson, explained that Watson's wagers were based on its confidence level for the category and a complex regression model called the Game State Evaluator.
In this study, the most complex regression model contained four predictors.
Thus we have taken into account the two single available sources of error: sampling error and experimental error in a simple way which is equivalent to a simplified version of the complex regression model suggested by MacGregor[ 36].
Although we are currently unable to measure the statistical power of interaction terms in complex logistic regression models, the lack of significance suggests that large disciplinary differences in the effect of publication pressures are unlikely.
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