Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

Journal of the American Statistical Association ◽

10.1080/01621459.1995.10476493 ◽

1995 ◽

Vol 90 (429) ◽

pp. 106-121 ◽

Author(s):

James M. Robins ◽

Andrea Rotnitzky ◽

Lue Ping Zhao

Keyword(s):

Missing Data ◽

Regression Models ◽

Semiparametric Regression

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Inference in Semiparametric Regression Models Under Partial Questionnaire Design and Nonmonotone Missing Data

Journal of the American Statistical Association ◽

10.1198/jasa.2010.tm08756 ◽

2010 ◽

Vol 105 (490) ◽

pp. 787-797 ◽

Author(s):

Nilanjan Chatterjee ◽

Yan Li

Keyword(s):

Missing Data ◽

Regression Models ◽

Semiparametric Regression ◽

Questionnaire Design

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Power and sample size for random coefficient regression models in randomized experiments with monotone missing data

Biometrical Journal ◽

10.1002/bimj.202000184 ◽

2021 ◽

Vol 63 (4) ◽

pp. 806-824

Author(s):

Nan Hu ◽

Howard Mackey ◽

Ronald Thomas

Keyword(s):

Missing Data ◽

Sample Size ◽

Regression Models ◽

Random Coefficient ◽

Randomized Experiments ◽

Random Coefficient Regression

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

10.1093/biomet/asx029 ◽

2017 ◽

Vol 104 (3) ◽

pp. 505-525 ◽

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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Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling

The Annals of Statistics ◽

10.1214/aos/1059655907 ◽

2003 ◽

Vol 31 (4) ◽

pp. 1110-1139 ◽

Author(s):

Jon A. Wellner ◽

Brad McNeney ◽

Norman Breslow

Keyword(s):

Regression Models ◽

Semiparametric Regression ◽

Two Phase ◽

Large Sample ◽

Large Sample Theory

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Semiparametric Regression Models for Interval-Censored Survival Data, With and Without Frailty Effects

Statistical Models and Methods for Biomedical and Technical Systems ◽

10.1007/978-0-8176-4619-6_22 ◽

2008 ◽

pp. 307-317 ◽

Author(s):

Philip Hougaard

Keyword(s):

Survival Data ◽

Regression Models ◽

Semiparametric Regression ◽

Censored Survival Data ◽

Interval Censored

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Endogeneity in Nonparametric and Semiparametric Regression Models

Advances in Economics and Econometrics ◽

10.1017/cbo9780511610257.011 ◽

2010 ◽

pp. 312-357 ◽

Author(s):

Richard Blundell ◽

James L. Powell

Keyword(s):

Regression Models ◽

Semiparametric Regression

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Efficiency of a Liu-type estimator in semiparametric regression models

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2010.08.028 ◽

2011 ◽

Vol 235 (5) ◽

pp. 1418-1428 ◽

Author(s):

Esra Akdeniz Duran ◽

Fikri Akdeniz ◽

Hongchang Hu

Keyword(s):

Regression Models ◽

Semiparametric Regression

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Extended least trimmed squares estimator in semiparametric regression models with correlated errors

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2015.1014371 ◽

2015 ◽

Vol 86 (2) ◽

pp. 357-372 ◽

Author(s):

M. Roozbeh ◽

S. Babaie-Kafaki

Keyword(s):

Regression Models ◽

Semiparametric Regression ◽

Correlated Errors ◽

Least Trimmed Squares

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Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data

Statistical Papers ◽

10.1007/s00362-016-0843-y ◽

2016 ◽

Vol 60 (3) ◽

pp. 667-686 ◽

Author(s):

M. Arashi ◽

Mahdi Roozbeh

Keyword(s):

Regression Models ◽

Semiparametric Regression ◽

High Dimensional ◽

Production Data ◽

Riboflavin Production

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