Author

J. R. Tipton

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Cancer Biology· 1

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Research Focus:benchmarking· 1 Approach:statistical model· 1

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A. I. Mundo· 1 shared T. J. Muldoon· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperCancer Biology

A. I. Mundo

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Cancer BiologybioRxivJun 10, 2021

Using generalized additive models to analyze biomedical non-linear longitudinal data

A. I. Mundo, J. R. Tipton, T. J. Muldoon

This paper demonstrates the use of generalized additive models (GAMs) to analyze non-linear longitudinal biomedical data, showing their superiority over linear methods like LMEMs and rm-ANOVA in handling non-linear trends and missing data.

DOI 10.1002/sim.9505

statistical modelbenchmarking

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