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Showing results 114 to 133 of 202
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Title
Author(s)
Issue Date
Kernel-based adaptive randomization toward balance in continuous and discrete covariates
Journal:
Statistica Sinica
Jiang, F
Ma, Y
Yin, G
2018
Landmark cure rate models with time-dependent covariates
Journal:
Statistical Methods in Medical Research
SHI, H
Yin, G
2017
A latent contingency table approach to dose finding for combinations of two agents
Journal:
Biometrics
Yin, G
Yuan, Y
2009
Learning distributed sentence vectors with bi-directional 3D convolutions
Proceeding/Conference:
The 28th International Conference on Computational Linguistics (COLING 2020)
Liu, B
Wang, L
Yin, G
2020
Least squares estimation of varying-coefficient hazard regression with application to breast cancer dose-intensity data
Journal:
Canadian Journal of Statistics
Yin, G
Hui, L
2009
Local likelihood with time-varying additive hazards model
Journal:
Canadian Journal of Statistics
Li, H
Yin, G
Zhou, Y
2007
Marginal analysis of correlated failure time data with informative cluster sizes
Journal:
Biometrics
Cong, XJ
Yin, G
Shen, Y
2007
Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm
Journal:
Statistics and Computing
Dong, F
Yin, G
2018
Maximum likelihood estimation for the proportional odds model with random effects
Journal:
Journal of the American Statistical Association
Zeng, D
Lin, DY
Yin, G
2005
Methylation of the candidate biomarker TCF21 is very frequent across a spectrum of early-stage nonsmall cell lung cancers
Journal:
Cancer
Richards, KL
Zhang, B
Sun, M
Dong, W
Churchill, J
Bachinski, LL
Wilson, CD
Baggerly, KA
Yin, G
Hayes, DN
Wistuba, II
Krahe, R
2011
Model aggregation for doubly divided data with large size and large dimension
Journal:
Computational Statistics
He, B
Liu, Y
Yin, G
Wu, Y
2022
Model checking for additive hazards model with multivariate survival data
Journal:
Journal of Multivariate Analysis
Yin, G
2007
Multiethnic Polygenic Risk Prediction in Diverse Populations through Transfer Learning
Journal:
Frontiers in Genetics
TIAN, P
CHAN, TH
WANG, YF
YANG, W
Yin, G
Zhang, Y
2022
Multiple change-points detection in high dimension
Journal:
Random Matrices: Theory and Applications
Wang, Y
Zou, C
Wang, Z
Yin, G
2019
Multiple imputation for cure rate quantile regression with censored data
Journal:
Biometrics
Wu, Y
Yin, G
2017
Network-based drug repurposing for the treatment of COVID-19 patients in different clinical stages
Journal:
Heliyon
Wang, Xin
Wang, Han
Yin, Guosheng
Zhang, Yan Dora
23-Feb-2023
Non-parametric overdose control for dose finding in drug combination trials
Journal:
Journal of the Royal Statistical Society: Series C (Applied Statistics)
LAM, CK
LIN, R
Yin, G
2019
Nonparametric Functional Approximation with Delaunay Triangulation Learner
Proceeding/Conference:
IEEE International Conference on Big Knowledge (ICBK)
Liu, Y
Yin, G
2019
Nonparametric Inference for Reversed Mean Models with Panel Count Data
Journal:
Bernoulli Journal
LIU, L
SU, W
Yin, G
ZHANG, Y
ZHAO, X
2022
Nonparametric maximum likelihood approach to multiple change-point problems
Journal:
The Annals of Statistics
Zou, C
Yin, G
Feng, L
Wang, Z
2014
