Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data.

In practice, a number of variables are available for an initial analysis, but many of them may not be significant and should be excluded from the final model in order to increase the accuracy of prediction.

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