Functional multivariable logistic regression with an application to HIV viral suppression prediction
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Publication:6625485
DOI10.1002/BIMJ.202300081zbMATH Open1547.6225MaRDI QIDQ6625485
Yichao Wu, Bankole Olatosi, Siyuan Guo, Xiaoming Li, James W. Hardin, Alexander C. McLain, Jiajia Zhang
Publication date: 28 October 2024
Published in: Biometrical Journal (Search for Journal in Brave)
predictionfunctional principal component analysisHIV viral suppressionmultivariate logistic regression
Cites Work
- Title not available (Why is that?)
- Longitudinal data analysis using generalized linear models
- Functional linear regression analysis for longitudinal data
- Sparse logistic principal components analysis for binary data
- A note on modeling sparse exponential-family functional response curves
- Sparse logistic functional principal component analysis for binary data
- Generalized functional linear models
- Functional data analysis.
- Estimation in generalized linear models for functional data via penalized likelihood
- Misspecified maximum likelihood estimates and generalized linear mixed models
- Robust Principal Component Functional Logistic Regression
- Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
- Hierarchical functional data with mixed continuous and binary measurements
- The Group Lasso for Logistic Regression
- Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
- Dynamic predictions with time‐dependent covariates in survival analysis using joint modeling and landmarking
- Generalized Linear Models with Functional Predictors
- Approximate Inference in Generalized Linear Mixed Models
- Improved Approximations for Multilevel Models with Binary Responses
- Principal component estimation of functional logistic regression: discussion of two different approaches
- Functional logistic regression: a comparison of three methods
- Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
- Model Selection and Estimation in Regression with Grouped Variables
- Estimated Estimating Equations: Semiparametric Inference for Clustered and Longitudinal Data
- Functional Data Analysis for Sparse Longitudinal Data
- A Bayesian latent variable approach to functional principal components analysis with binary and count data
- A fast unified algorithm for solving group-lasso penalize learning problems
- Functional modeling of recurrent events on time‐to‐event processes
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