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Generalized Semiparametric Varying-Coefficient Model for Longitudinal Data with Applications to Adaptive Treatment Randomizations
This paper investigates a generalized semiparametric varying-coefficient model for longitudinal data that can flexibly model three types of covariate effects: time-constant effects, time-varying effects, and covariate-varying effects. Different link functions can be selected to provide a rich family...
में बचाया:
| में प्रकाशित: | Biometrics |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2016
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5459686/ https://ncbi.nlm.nih.gov/pubmed/27918612 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12626 |
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