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Eliminating bias due to censoring in Kendallâ€™s tau estimators for quasi independence of truncation and failure

Type: Journal Paper

Author : Austin, Matthew D. - Betensky, Rebecca A.

Publisher: Elsevier Science

Year: 2014

Partially linear varying coefficient models with missing at random responses

Type: Journal Paper

Author : Bravo, F.

Publisher: Springer

Year: 2013

Robust inference using hierarchical likelihood approach for heavy tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations

Type: Journal Paper

Publisher: Elsevier Science

Year: 2013

Checking the adequacy of partial linear models with missing covariates at random

Type: Journal Paper

Author : Xu, W. - Guo, X.

Publisher: Springer

Year: 2013

Empirical likelihood inference in linear regression with nonignorable missing response

Type: Journal Paper

Author : Niu, Cuizhen - Guo, Xu - Xu, Wangli - Zhu, Lixing

Publisher: Elsevier Science

Year: 2014

Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure

Type: Journal Paper

Author : Effraimidis, Georgios - Dahl, Christian M.

Publisher: Elsevier Science

Year: 2014

A further study of the multiply robust estimator in missing data analysis

Type: Journal Paper

Author : Han, Peisong

Publisher: Elsevier Science

Year: 2014

Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion

Type: Journal Paper

Author : Donald, Stephen G. - Hsu, Yu - Lieli, Robert P.

Publisher: Elsevier Science

Year: 2014

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Eliminating bias due to censoring in Kendallâ€™s tau estimators for quasi independence of truncation and failure

Partially linear varying coefficient models with missing at random responses

Robust inference using hierarchical likelihood approach for heavy tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations

Checking the adequacy of partial linear models with missing covariates at random

Empirical likelihood inference in linear regression with nonignorable missing response

Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure

A further study of the multiply robust estimator in missing data analysis

Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion

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Eliminating bias due to censoring in Kendallâ€™s tau estimators for quasi independence of truncation and failure

Partially linear varying coefficient models with missing at random responses

Robust inference using hierarchical likelihood approach for heavy tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations

Checking the adequacy of partial linear models with missing covariates at random

Empirical likelihood inference in linear regression with nonignorable missing response

Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure

A further study of the multiply robust estimator in missing data analysis

Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion