Analysis of binary longitudinal data with time-varying effects

DOI10.1016/j.csda.2017.03.007zbMath1464.62097OpenAlexW2603938954WikidataQ57425385 ScholiaQ57425385MaRDI QIDQ1654267

Minjae Park, Taeyoung Park, Seonghyun Jeong

Publication date: 7 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2017.03.007

zbMATH Keywords

longitudinal datarepeated measuresnonparametric regressionpartial collapseprobit mixed model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08)

Related Items (7)

Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines ⋮ Time-varying coefficient model estimation through radial basis functions ⋮ Robust probit linear mixed models for longitudinal binary data ⋮ Quantile varying-coefficient structural equation model ⋮ Functional clustering methods for binary longitudinal data with temporal heterogeneity ⋮ Analysis of Poisson varying-coefficient models with autoregression ⋮ Efficient and flexible model-based clustering of jumps in diffusion processes

Uses Software

• SemiPar

Cites Work

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