Applying functional data analysis to assess tele-interpersonal psychotherapy's efficacy to reduce depression

DOI10.1080/02664763.2018.1470231OpenAlexW2799605259WikidataQ91332752 ScholiaQ91332752MaRDI QIDQ5036497

Henok Woldu, Andreas Handel, Ye Shen, Timothy G. Heckman

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6860374

zbMATH Keywords

functional regressiongeneralized cross-validationIVRSADSfunctional \(f\)-testtele-IPT

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• R
• fda (R)
• SemiPar
• fda.usc

Cites Work

• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Properties of principal component methods for functional and longitudinal data analysis
• Case studies in spatial point process modeling. Most papers based on the presentation at the international conference on spatial point process modeling and its applications, Benicàssim, Castellon, Spain, April 4--8, 2004.
• Functional Data Analysis with R and MATLAB
• Semiparametric Stochastic Mixed Models for Longitudinal Data
• Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context
• Longitudinal Data Analysis
• Linear mixed models for longitudinal data

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