A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies
From MaRDI portal
Publication:6636213
DOI10.1515/ijb-2021-0057MaRDI QIDQ6636213
Yong Zhou, Wei Zhao, P. B. Gilbert, Alan T. K. Wan
Publication date: 12 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- A quantile varying-coefficient regression approach to length-biased data modeling
- Partially linear transformation models with varying coefficients for multivariate failure time data
- Empirical distributions in selection bias models
- Large sample theory of empirical distributions in biased sampling models
- Nonparametric estimation in the presence of length bias
- Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
- Buckley-James-Type Estimator with Right-Censored and Length-Biased Data
- Combined estimating equation approaches for semiparametric transformation models with length-biased survival data
- Pseudo-partial likelihood for proportional hazards models with biased-sampling data
- Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
- Nonparametric analysis of truncated survival data, with application to AIDS
- Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
- Analysis of transformation models with censored data
- Hazards regression analysis for length-biased data
- Generalized Partially Linear Single-Index Models
- Semiparametric analysis of transformation models with censored data
- Length-Biased Sampling With Right Censoring
- Partially linear transformation model for length-biased and right-censored data
- Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
- A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes
- Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
- On Estimation of Partially Linear Transformation Models
- Partially Linear Hazard Regression for Multivariate Survival Data
- Quantile regression analysis of length-biased survival data
This page was built for publication: A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636213)