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北京大学 [37]

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	Effects of hydroxyethyl starch 130/0.42 vs. Ringer's acetate on cytokine levels in severe sepsis 其他 2017-01-01 Anthon, C. T.; Mueller, R. B.; Haase, N.; Hjortrup, P. B.; Moller, K.; Lange, T.; Wetterslev, J.; Perner, A. 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/12/03 HOSPITALIZATION BEHAVIOR QUESTIONNAIRE RANDOMIZED CONTROLLED-TRIAL PREOPERATIVE ANXIETY POSTOPERATIVE PAIN CHILDREN ANESTHESIA SURGERY MUSIC PREDICTORS RECOVERY
	Semiparametric Bayesian analysis of accelerated failure time models with cluster structures 其他 2017-01-01 Li, Zhaonan; Xu, Xinyi; Shen, Junshan 收藏 \| 浏览/下载：3/0 \| 提交时间：2017/12/03 density ratio model mixture of Dirichlet processes survival analysis REGRESSION-MODELS EFFICIENT ESTIMATION DIRICHLET PROCESS CENSORED-DATA LIKELIHOOD INFERENCE MIXTURES QUANTILE PRIORS
	Estimating Ground PM2.5 Concentration Using Eigenvector Spatial Filtering Regression 其他 2017-01-01 作者: Zhang, Jingyi; Chen, Yumin; Li, Xiangfei; Wu, Qianjiao; Zhou, Jiang 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/05 fine particulate matter (PM2.5) spatial variation multiple linear regression eigenvector spatial filtering (ESF) method
	Estimating Ground PM2.5 Concentration Using Eigenvector Spatial Filtering Regression 其他 2017-01-01 作者: Zhang, Jingyi; Chen, Yumin; Li, Xiangfei; Wu, Qianjiao; Zhou, Jiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/05 fine particulate matter (PM2.5) spatial variation multiple linear regression eigenvector spatial filtering (ESF) method
	Estimating Ground PM2.5 Concentration Using Eigenvector Spatial Filtering Regression 其他 2017-01-01 作者: Zhang, Jingyi; Chen, Yumin; Li, Xiangfei; Wu, Qianjiao; Zhou, Jiang 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/05 fine particulate matter (PM2.5) spatial variation multiple linear regression eigenvector spatial filtering (ESF) method
	Testing super-diagonal structure in high dimensional covariance matrices 其他 2016-01-01 He, Jing; Chen, Song Xi 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/12/03 Bandable covariance High dimensionality Sparse covariance matrix Multiple testing LATENT FACTORS FACTOR MODELS TIME-SERIES REGRESSION REGULARIZATION NUMBER
	Bayesian Quantile Regression Based on the Empirical Likelihood with Spike and Slab Priors 其他 2016-01-01 Xi, Ruibin; Li, Yunxiao; Hu, Yiming 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/12/03 model selection Gibbs sampler oracle property empirical process consistency VARIABLE SELECTION CONFIDENCE-INTERVALS DISTRIBUTIONS CANALIZATION MICRORNAS
	Tests for high dimensional generalized linear models 其他 2016-01-01 Guo, Bin; Chen, Song Xi 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/12/03 Generalized linear model Gene sets High dimensional covariate Nuisance parameter U-statistics EMPIRICAL LIKELIHOOD LASSO REGRESSION
	Adaptive Logistic Group Lasso Method for Predicting the No-reflow among the Multiple Types of High-dimensional Variables with Missing Data 其他 2016-01-01 Yang, Xianglin; Tong, Yunhai; Meng, Xiangfeng; Zhao, Shuai; Xu, Zhi; Li, Yanjun; Jia, Xin; Tan, Shaohua 收藏 \| 浏览/下载：7/0 \| 提交时间：2017/12/03 no-reflow EMR adaptive group Lasso k-nearest neighbors (KNN) logistic regression prediction PERCUTANEOUS CORONARY INTERVENTION ELEVATION MYOCARDIAL-INFARCTION STATIN THERAPY REGRESSION SELECTION
	Adaptive Logistic Group Lasso Method for Predicting the No-reflow among the Multiple Types of High-dimensional Variables with Missing Data 其他 2016-01-01 Xianglin Yang; Yunhai Tong; Xiangfeng Meng; Shuai Zhao; Zhi Xu; Yanjun Li; Xin Jia; Shaohua Tan 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/12/03 no-reflow EMR adaptive group Lasso k-nearest neighbors(KNN) logistic regression prediction no-reflow EMR adaptive group Lasso k-nearest neighbors(KNN) logistic regression prediction

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