Nonparametric estimation for time-varying transformation models with longitudinal data

DOI10.1080/10485250903160988zbMath1182.62090OpenAlexW2081415823MaRDI QIDQ5189265

Xin Tian, Wu, Colin O., Jarvis Yu

Publication date: 15 March 2010

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

Full work available at URL: https://doi.org/10.1080/10485250903160988

zbMATH Keywords

time-varying coefficientstwo-step estimationlocal polynomialslinear transformation modelslongitudinal samples

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (10)

Estimation and inference on the joint conditional distribution for bivariate longitudinal data using Gaussian copula ⋮ Time-varying coefficient model estimation through radial basis functions ⋮ General partially linear additive transformation model with right-censored data ⋮ Local Box–Cox transformation on time-varying parametric models for smoothing estimation of conditional CDF with longitudinal data ⋮ Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies ⋮ General partially linear varying-coefficient transformation model with right censored data ⋮ Risk-predictive probabilities and dynamic nonparametric conditional quantile models for longitudinal analysis ⋮ Nonparametric estimation of conditional distribution functions with longitudinal data and time-varying parametric models ⋮ Nonparametric estimation of conditional distribution functions and rank-tracking probabilities with longitudinal data ⋮ Nonparametric Estimation of Conditional Distributions and Rank-Tracking Probabilities With Time-Varying Transformation Models in Longitudinal Studies

Cites Work

• Consistency of cross-validation when the data are curves
• Inference for covariate adjusted regression via varying coefficient models
• Approximation Theorems of Mathematical Statistics
• Profile-kernel versus backfitting in the partially linear models for longitudinal/clustered data
• On semiparametric transformation cure models
• Efficient estimation of semiparametric transformation models for counting processes
• Kernel Regression Estimation Using Repeated Measurements Data
• Analysis of transformation models with censored data
• Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
• Predicting Survival Probabilities With Semiparametric Transformation Models
• Order-Preserving Nonparametric Regression, With Applications to Conditional Distribution and Quantile Function Estimation
• Using a Box–Cox Transformation in the Analysis of Longitudinal Data with Incomplete Responses
• Principal component models for sparse functional data
• Methods for Estimating a Conditional Distribution Function
• Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
• Varying-coefficient models and basis function approximations for the analysis of repeated measurements
• Semiparametric and Nonparametric Regression Analysis of Longitudinal Data
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• Semiparametric transformation models for the case-cohort study
• Linear mixed models for longitudinal data

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