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1
Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
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Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events

Gao, Fei ; Zeng, Donglin ; Couper, David ; Lin, D. Y.

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1232-1240 [Periódico revisado por pares]

United States: Taylor & Francis

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2
Reinforcement learning design for cancer clinical trials
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Reinforcement learning design for cancer clinical trials

Zhao, Yufan ; Kosorok, Michael R. ; Zeng, Donglin

Statistics in medicine, 2009-11, Vol.28 (26), p.3294-3315 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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3
A general framework of nonparametric feature selection in high‐dimensional data
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A general framework of nonparametric feature selection in high‐dimensional data

Yu, Hang ; Wang, Yuanjia ; Zeng, Donglin

Biometrics, 2023-06, Vol.79 (2), p.951-963 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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4
Synthesizing studies for comparing different treatment sequences in clinical trials
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Synthesizing studies for comparing different treatment sequences in clinical trials

Diao, Guoqing ; Ma, Haijun ; Zeng, Donglin ; Ke, Chunlei ; Ibrahim, Joseph G.

Statistics in medicine, 2022-11, Vol.41 (25), p.5134-5149 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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5
Efficient Estimation for Semiparametric Structural Equation Models With Censored Data
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Efficient Estimation for Semiparametric Structural Equation Models With Censored Data

Wong, Kin Yau ; Zeng, Donglin ; Lin, D. Y.

Journal of the American Statistical Association, 2018-01, Vol.113 (522), p.893-905 [Periódico revisado por pares]

United States: Taylor & Francis

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6
Semiparametric single-index models for optimal treatment regimens with censored outcomes
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Artigo
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Semiparametric single-index models for optimal treatment regimens with censored outcomes

Wang, Jin ; Zeng, Donglin ; Lin, D. Y.

Lifetime data analysis, 2022-10, Vol.28 (4), p.744-763 [Periódico revisado por pares]

New York: Springer US

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7
Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout
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Artigo
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Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout

Diao, Guoqing ; Zeng, Donglin ; Hu, Kuolung ; Ibrahim, Joseph G.

Biometrics, 2019-12, Vol.75 (4), p.1168-1178 [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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8
Semiparametric Regression Analysis of Interval–Censored Data with Informative Dropout
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Semiparametric Regression Analysis of Interval–Censored Data with Informative Dropout

Gao, Fei ; Zeng, Donglin ; Lin, Dan-Yu

Biometrics, 2018-12, Vol.74 (4), p.1213-1222 [Periódico revisado por pares]

United States: Wiley-Blackwell

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9
Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome
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Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome

Diao, Guoqing ; Zeng, Donglin ; Hu, Kuolung ; Ibrahim, Joseph G.

Statistics in medicine, 2017-09, Vol.36 (22), p.3475-3494 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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10
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration

Chen, Tianle ; Zeng, Donglin ; Wang, Yuanjia

Biometrics, 2015-12, Vol.71 (4), p.918-928 [Periódico revisado por pares]

United States: International Biometric Society, etc.

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