BAMIFun provides Bayesian multiple imputation for functional data via low-rank penalized spline models, achieving accurate imputation and improved coverage in simulations and real datasets compared to single-imputation FPCA methods.
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Function-on-scalar regression captures time-varying effects of physical activity interventions on daily trajectories better than FPCA followed by scalar regression, as shown in the STEP UP study.
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BAMIFun: Bayesian Multiple Imputation for Functional Data
BAMIFun provides Bayesian multiple imputation for functional data via low-rank penalized spline models, achieving accurate imputation and improved coverage in simulations and real datasets compared to single-imputation FPCA methods.
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Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
Function-on-scalar regression captures time-varying effects of physical activity interventions on daily trajectories better than FPCA followed by scalar regression, as shown in the STEP UP study.