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400 results on '"Chen, Pingyan"'

3. Effects of an Early Intensive Blood Pressure–lowering Strategy Using Remifentanil and Dexmedetomidine in Patients with Spontaneous Intracerebral Hemorrhage: A Multicenter, Prospective, Superiority, Randomized Controlled Trial

Author

Dong, Rui, Li, Fen, Li, Bin, Chen, Qiming, Huang, Xianjian, Zhang, Jiehua, Huang, Qibing, Zhang, Zeli, Cao, Yunxing, Yang, Mingbiao, Li, Jianwei, Li, Zhanfu, Li, Cuiyu, Liu, Guohua, Zhong, Shu, Feng, Guang, Zhang, Ming, Xiao, Yumei, Lin, Kangyue, Shen, Yunlong, Shao, Huanzhang, Shi, Yuan, Yu, Xiangyou, Li, Xiaopeng, Yao, Lan, Du, Xinyu, Xu, Ying, Kang, Pei, Gao, Guoyi, Ouyang, Bin, Chen, Wenjin, Zeng, Zhenhua, Chen, Pingyan, Chen, Chunbo, and Yang, Hong

Published
2024
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5. Safety and efficacy of glibenclamide combined with rtPA in acute cerebral ischemia with occlusion/stenosis of anterior circulation (SE-GRACE): a randomized, double-blind, placebo-controlled trial

Author

Huang, Kaibin, Zhao, Xiaolin, Zhao, Yunxiao, Yang, Guoshuai, Zhou, Saijun, Yang, Zhi, Huang, Wenguo, Weng, Guohu, Chen, Pingyan, Duan, Chongyang, Lin, Zhenzhou, Wang, Shengnan, Liu, Xiangmin, Huang, Yunqiang, Zhang, Jiangshan, Zhang, Xu, Li, Hao, Ye, Songsheng, Gu, Yong, Zhu, Minzhen, Chen, Weiying, Quan, Weiwei, Liu, Na, Chen, Quanfeng, Chang, Yuan, He, Jinzhao, Ji, Zhong, Wu, Yongming, and Pan, Suyue

Published
2023
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9. Complete convergence for randomly weighted sums of dependent random variables and an application.

Author

Chen, Pingyan, Luo, Jingjing, and Sung, Soo Hak

Subjects
*LAW of large numbers, *RANDOM variables, *DEPENDENT variables
Abstract

In this article, we establish complete convergence for randomly weighted sums of negatively orthant-dependent random variables. We also establish complete convergence for the maximums of randomly weighted sums of negatively associated random variables. As a corollary, a Marcinkiewicz-Zygmund-type strong law for randomly weighted sums of negatively associated random variables is obtained. The results can be applied to the bootstrap sample means, and an open problem in a convergence rate of the bootstrap sample means posed by Csörgő (2004) is solved completely. [ABSTRACT FROM AUTHOR]

Published
2024
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13. On variance estimation of target population created by inverse probability weighting.

Author

Chen, Jinmei, Chen, Rui, Feng, Yuhao, Tan, Ming, Chen, Pingyan, and Wu, Ying

Subjects
CONDITIONAL probability, STANDARD deviations, SARCOPENIA, SCIENTIFIC observation, PROBABILITY theory
Abstract

Inverse probability weighting (IPW) is frequently used to reduce or minimize the observed confounding in observational studies. IPW creates a pseudo-sample by weighting each individual by the inverse of the conditional probability of receiving the treatment level that he/she has actually received. In the pseudo-sample there is no variation among the multiple individuals generated by weighting the same individual in the original sample. This would reduce the variability of the data and therefore bias the variance estimate in the target population. Conventional variance estimation methods for IPW estimators generally ignore this underestimation and tend to produce biased estimates of variance. We here propose a more reasonable method that incorporates this source of variability by using parametric bootstrapping based on intra-stratum variability estimates. This approach firstly uses propensity score stratification and intra-stratum standard deviation to approximate the variability among multiple individuals generated based on a single individual whose propensity score falls within the corresponding stratum. The parametric bootstrapping is then used to incorporate the target variability by re-generating outcomes after adding a random error term to the original data. The performance of the proposed method is compared with three existing methods including the naïve model-based variance estimator, the nonparametric bootstrap variance estimator, and the robust variance estimator in the simulation section. An example of patients with sarcopenia is used to illustrate the implementation of the proposed approach. According to the results, the proposed approach has desirable statistical properties and can be easily implemented using the provided R code. [ABSTRACT FROM AUTHOR]

Published
2024
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15. A Characterization of Chover-Type Law of Iterated Logarithm

Author

Li, Deli and Chen, Pingyan

Subjects
Mathematics - Probability
Abstract

Let $0 < \alpha \leq 2$ and $- \infty < \beta < \infty$. Let $\{X_{n}; n \geq 1 \}$ be a sequence of independent copies of a real-valued random variable $X$ and set $S_{n} = X_{1} + \cdots + X_{n}, ~n \geq 1$. We say $X$ satisfies the $(\alpha, \beta)$-Chover-type law of the iterated logarithm (and write $X \in CTLIL(\alpha, \beta)$) if $\limsup_{n \rightarrow \infty} \left| \frac{S_{n}}{n^{1/\alpha}} \right|^{(\log \log n)^{-1}} = e^{\beta}$ almost surely. This paper is devoted to a characterization of $X \in CTLIL(\alpha, \beta)$. We obtain sets of necessary and sufficient conditions for $X \in CTLIL(\alpha, \beta)$ for the five cases: $\alpha = 2$ and $0 < \beta < \infty$, $\alpha = 2$ and $\beta = 0$, $1 < \alpha < 2$ and $-\infty < \beta < \infty$, $\alpha = 1$ and $- \infty < \beta < \infty$, and $0 < \alpha < 1$ and $-\infty < \beta < \infty$. As for the case where $\alpha = 2$ and $-\infty < \beta < 0$, it is shown that $X \notin CTLIL(2, \beta)$ for any real-valued random variable $X$. As a special case of our results, a simple and precise characterization of the classical Chover law of the iterated logarithm (i.e., $X \in CTLIL(\alpha, 1/\alpha)$) is given; that is, $X \in CTLIL(\alpha, 1/\alpha)$ if and only if $\inf \left \{b:~ \mathbb{E} \left(\frac{|X|^{\alpha}}{(\log (e \vee |X|))^{b\alpha}} \right) < \infty \right\} = 1/\alpha$ where $\mathbb{E}X = 0$ whenever $1 < \alpha \leq 2$., Comment: 11 pages

Published
2014

43. Limiting behavior of delayed sums under a non-identically distribution setup

Author

Chen Pingyan

Subjects
distribuição estável, leis do logaritmo iterado, somas retardadas, stable distribution, laws of iterated logarithm, delayed sum, Science
Abstract

We present an accurate description the limiting behavior of delayed sums under a non-identically distribution setup, and deduce Chover-type laws of the iterated logarithm for them. These complement and extend the results of Vasudeva and Divanji (Theory of Probability and its Applications, 37 (1992), 534-542).Apresentamos uma descrição precisa do comportamento limite de somas retardadas, e deduzimos leis do tipo Chover de logaritmo iterado para as mesmas. Isso completa e estende os resultados de Vasudeva e Divanji (Theory of Probability and its Aplications, 37 (1992), 534-542).

Published
2008
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