Semiparametric regression models and sensitivity analysis of longitudinal data with non-random dropouts

David Todem; KyungMann Kim; Jason Fine; Limin Peng

doi:10.1111/j.1467-9574.2009.00435.x

Semiparametric regression models and sensitivity analysis of longitudinal data with non-random dropouts

Statistica Neerlandica ◽

10.1111/j.1467-9574.2009.00435.x ◽

2010 ◽

Vol 64 (2) ◽

pp. 133-156

Author(s):

David Todem ◽

KyungMann Kim ◽

Jason Fine ◽

Limin Peng

Keyword(s):

Sensitivity Analysis ◽

Longitudinal Data ◽

Regression Models ◽

Semiparametric Regression

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Smoothing Longitudinal Data: Semiparametric Regression Models

Applied Longitudinal Analysis - Wiley Series in Probability and Statistics ◽

10.1002/9781119513469.ch19 ◽

2018 ◽

pp. 551-579

Keyword(s):

Longitudinal Data ◽

Regression Models ◽

Semiparametric Regression

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Sensitivity Analysis in Semiparametric Regression Models

Measurement and Multivariate Analysis ◽

10.1007/978-4-431-65955-6_25 ◽

2002 ◽

pp. 233-240

Author(s):

Wing-Kam Fung ◽

Zhong-Yi Zhu ◽

Bo-Cheng Wei

Keyword(s):

Sensitivity Analysis ◽

Regression Models ◽

Semiparametric Regression

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Semiparametric regression based on fourier series for longitudinal data with Weighted Lest Square (WLS) optimization

Journal of Physics Conference Series ◽

10.1088/1742-6596/1836/1/012038 ◽

2021 ◽

Vol 1836 (1) ◽

pp. 012038

Author(s):

Kuzairi ◽

Miswanto ◽

M F F Mardianto

Keyword(s):

Fourier Series ◽

Longitudinal Data ◽

Semiparametric Regression

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Generalized empirical likelihood inference in semiparametric regression model for longitudinal data

Acta Mathematica Sinica English Series ◽

10.1007/s10114-008-6434-7 ◽

2008 ◽

Vol 24 (12) ◽

pp. 2029-2040 ◽

Cited By ~ 20

Author(s):

Gao Rong Li ◽

Ping Tian ◽

Liu Gen Xue

Keyword(s):

Longitudinal Data ◽

Regression Model ◽

Empirical Likelihood ◽

Semiparametric Regression ◽

Likelihood Inference ◽

Semiparametric Regression Model ◽

Generalized Empirical Likelihood

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Semiparametric regression analysis of longitudinal data with informative drop-outs

Biostatistics ◽

10.1093/biostatistics/4.3.385 ◽

2003 ◽

Vol 4 (3) ◽

pp. 385-398 ◽

Cited By ~ 20

Author(s):

D. Y. Lin

Keyword(s):

Regression Analysis ◽

Longitudinal Data ◽

Semiparametric Regression ◽

Drop Outs

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Estimation via corrected scores in general semiparametric regression models with error-prone covariates

Electronic Journal of Statistics ◽

10.1214/11-ejs647 ◽

2011 ◽

Vol 5 (0) ◽

pp. 1424-1449

Author(s):

Arnab Maity ◽

Tatiyana V. Apanasovich

Keyword(s):

Regression Models ◽

Semiparametric Regression

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L-Logistic regression models: Prior sensitivity analysis, robustness to outliers and applications

Brazilian Journal of Probability and Statistics ◽

10.1214/18-bjps397 ◽

2019 ◽

Vol 33 (3) ◽

pp. 455-479

Author(s):

Rosineide F. da Paz ◽

Narayanaswamy Balakrishnan ◽

Jorge Luis Bazán

Keyword(s):

Sensitivity Analysis ◽

Logistic Regression ◽

Regression Models ◽

Logistic Regression Models

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Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data

Biometrika ◽

10.1093/biomet/asx029 ◽

2017 ◽

Vol 104 (3) ◽

pp. 505-525 ◽

Cited By ~ 6

Author(s):

Donglin Zeng ◽

Fei Gao ◽

D. Y. Lin

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Censored Data ◽

Regression Models ◽

Semiparametric Regression ◽

Likelihood Estimation ◽

Interval Censored Data ◽

Interval Censored

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Beta rectangular regression models to longitudinal data

Brazilian Journal of Probability and Statistics ◽

10.1214/21-bjps511 ◽

2021 ◽

Vol 35 (4) ◽

Author(s):

Vinícius S. O. Ribeiro ◽

Juvêncio S. Nobre ◽

José Roberto S. dos Santos ◽

Caio L. N. Azevedo

Keyword(s):

Longitudinal Data ◽

Regression Models

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8. Regression Models for Longitudinal Data

Regression Models for Categorical, Count, and Related Variables ◽

10.1525/9780520965492-010 ◽

2019 ◽

pp. 189-206

Keyword(s):

Longitudinal Data ◽

Regression Models

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