A nonparametric dynamic additive regression model for longitudinal data.
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Publication:1848811
DOI10.1214/aos/1015956705zbMath1105.62339OpenAlexW1571294957MaRDI QIDQ1848811
Thomas H. Scheike, Torben Martinussen
Publication date: 14 November 2002
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1015956705
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- Longitudinal data analysis using generalized linear models
- Smoothing counting process intensities by means of kernel functions
- Nonparametric inference for a family of counting processes
- Identification of nonlinear time series from first order cumulative characteristics
- Statistical estimation in varying coefficient models
- Cumulative regression function tests for regression models for longitudinal data
- A nonparametric dynamic additive regression model for longitudinal data.
- Comparison of non-parametric regression functions through their cumulatives
- Confidence bands for a survival curve from censored data
- Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
- Semiparametric analysis of the additive risk model
- A partly parametric additive risk model
- A General Framework for Longitudinal Data through Marked Point Processes
- Modeling Partly Conditional Means With Longitudinal Data
- Age-Dependent U-Shaped Risk Functions and Aalen's Additive Risk Model
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Projected partial likelihood and its application to longitudinal data
- A semiparametric additive regression model for longitudinal data
- Statistical models based on counting processes