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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, U.S.A.
This study introduces a new method for analyzing biomarker data in colorectal neoplasia studies, addressing measurement errors in functional predictors. The spline smoothing technique improves the accuracy of generalized functional linear models for complex biological data.
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