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| 1 | Thrombopoietin induced proliferation and differentiation of fetal liver CD34^+ cells with phenotype change from hemopoiesis to neurogenesis显示文摘BACKGROUND: Previous studies have reported a neurotrophin-like motif in the N-terminal receptor binding region of the thrombopoietin (TPO) molecule, and have described localization of TPO and TPO receptor in the brain. Therefore, it is believed that TPO may be involved in regulation of neurogenesis. OBJECTIVE: To validate the effect of TPO on trans-differentiation, or differentiation from hematopoietic stem cells (HSCs) to neural stem cells (NSCs). DESIGN, TIME AND SETTING: Comparative studies were performed from March 2004 to April 2007 at the Department of Experimental Medicine, Northern Hospital, and the Department of Immunology, Fourth Military Medical University of Chinese PLA. MATERIALS: Human fetal liver (FL) was obtained from fetuses after water-balloon abortion. Gestational age ranged from 16 to 20 weeks. The study was approved by the Institutional Review Board and Ethics Committee of the Northern Hospital. TPO was kindly provided by Genentech Inc (USA). Iscove's Modified Dulbecco's Medium (IMDM) and neurobasalTM medium were purchased from Invitrogen (USA). MACS CD34 multisort kit was purchased from Miltenyi Biotec (Germany). METHODS: CD34+ cells were isolated from human FL mononuclear cells using MACS CD34 multisort kit and cultured at 1 × 105/mL in IMDM, containing TPO for 60 days with weekly changes of half of the medium. After culturing for 30 and 60 days, the TPO-induced cells were resuspended in neurobasalTM medium containing 10% fetal brain extracts and plated in an 8-well BIOCOAT poly-D-Lysine Culture Slide and cul- tured for another 7 days. MAIN OUTCOME MEASURES: Cell number, viability, phenotype and expression of hemopoiesis-related and neurogenesis-related proteins were examined by trypan blue exclusion with hemocytometer, immunoblot, immunocytochemistry and flow cytometry. RESULTS: After 60 days of induction with TPO, the cell number increased by 4.6-fold compared to the ini- tial culture. Although the proportion of the cells expressing the hemopoietic stem cell associated antigen (CD34) decreased steadily, both proportions of the cultured FL-derived CD34+ cells expressing CD41a and CD61 remained unchanged, which still accounted for 10%. Noticeably, the proportions of the cells express- ing nestin and epidermal growth factor receptor increased significantly (both > 50%), whereas the expression of more mature neural or glial proteins [microtubule-associated protein-2 (MAP2), glial fibrillary acidic pro- tein (GFAP), oligodendrocyte marker O4 (O4)] markers on the cultured fetal liver derived-CD34+ cells were at lower levels. After another 7 days incubation in neurobasal? medium, these TPO-induced cells formed neurospheres, which were labeled with nestin, and differentiated into cells with morphological characteristics of neurons, astrocytes and oligodendrocytes, which were labeled with MAP-2, GFAP, and O4, respectively. CONCLUSION: TPO can induce FL-derived HSCs to differentiate or trans-differentiate into NSCs and its progenitors. | Ning Ma Dongchu Ma Yi Tao Yinghui Sun Di Lin Huiying Yu Jinlong Jian Wei Jia Boquan Jin | 2008 | Neural Regeneration Research2008，3，4： | 1 |
| 2 | Bayesian analysis for the Lomax model using noninformative priors显示文摘The Lomax distribution is an important member in the distribution family.In this paper,we systematically develop an objective Bayesian analysis of data from a Lomax distribution.Noninformative priors,including probability matching priors,the maximal data information(MDI)prior,Jeffreys prior and reference priors,are derived.The propriety of the posterior under each prior is subsequently validated.It is revealed that the MDI prior and one of the reference priors yield improper posteriors,and the other reference prior is a second-order probability matching prior.A simulation study is conducted to assess the frequentist performance of the proposed Bayesian approach.Finally,this approach along with the bootstrap method is applied to a real data set. | Daojiang He Dongchu Sun Qing Zhu | 2023 | Statistical Theory and Related Fields2023，7，1： | 1 |
| 3 | Intrinsic Bayesian estimation of vector autoregression impulse responses 显示文摘 | Ni Shawn Sun Dongchu Sun Xiaoqian | 2007 | Journal of Business & Economic Statistics2007，25，2： | 1 |
| 4 | Effect of dendritic cell/cytokine-induced killer cell immunobiological cancer therapy combined with adjuvant chemotherapy in patients with triple-negative breast cancer显示文摘Objective The aim of the present study was to investigate the effect of dendritic cell(DC)/cytokine-induced killer cell(CIK) immunobiological cancer therapy in patients with triple-negative breast cancer(TNBC) who underwent adjuvant chemotherapy. Methods From January 2010 to October 2013, 120 patients with postoperative TNBC were recruited and included in the study. Patients were enrolled in one of two groups according to whether they accepted DC/CIK immunobiological cancer therapy during adjuvant chemotherapy; the patients in the DC/CIK group underwent adjuvant chemotherapy combined with DC/CIK immunobiological cancer therapy, and the control group underwent adjuvant chemotherapy alone. When six cycles of adjuvant chemotherapy and six cycles of DC/CIK immunobiological cancer therapy had been completed, differences between the two groups with regard to quality of life(Qo L), immunological indicators(CD3, CD4, CD8, and NK cell levels), disease-free survival(DFS), and side effects of chemotherapy and DC/CIK treatment were evaluated.Results In the DC/CIK group, the proportion of NK cells and CD3+ and CD4+ T-cell subgroups significantly increased, and the proportion of CD8+ cells decreased when they were compared before and after DC/CIK therapy(P < 0.05). However, there were no significant changes in the control group. By the final follow-up, DFS of the treatment group and the control group was 38.4 and 34.2 months, respectively. The Qo L improved in the patients treated with chemotherapy plus DC/CIK therapy compared with the patients treated with chemotherapy alone, and the difference between groups was significant(P < 0.05). The side effects of two groups were tolerable and not significantly different between the two groups.Conclusion The DC/CIK treatment had potential benefits for patients with TNBC compared with the control group, and was not associated with any obvious side effects. Therefore, DC/CIK therapy is a safe and effective method for the treatment of TNBC. | Ranran Zhang Wanqing Xie Tao Han Yongye Liu Zhaozhe Liu Fang Guo Yaling Han Zhenyu Ding Yinghui Sun Dongchu Ma Xiaodong Xie | 2015 | The Chinese-German Journal of Clinical Oncology2015，14，1： | 1 |
| 5 | A class of admissible estimators of multiple regression coefficient with an unknown variance显示文摘Suppose that we observe y|θ,τ∼N_(p)(Xθ,τ^(−1)I_(p)),where θ is an unknown vector with unknown precisionτ.Estimating the regression coefficient θ with known τ has been well studied.However,statistical properties such as admissibility in estimating θ with unknownτare not well studied.Han[(2009).Topics in shrinkage estimation and in causal inference(PhD thesis).Warton School,University of Pennsylvania]appears to be the first to consider the problem,developing sufficient conditions for the admissibility of estimating means of multivariate normal distributions with unknown variance.We generalise the sufficient conditions for admissibility and apply these results to the normal linear regression model.2-level and 3-level hierarchical models with unknown precisionτare investigated when a standard class of hierarchical priors leads to admissible estimators of θ under the normalised squared error loss.One reason to consider this problem is the importance of admissibility in the hierarchical prior selection,and we expect that our study could be helpful in providing some reference for choosing hierarchical priors. | Chengyuan Song Dongchu Sun | 2020 | Statistical Theory and Related Fields2020，4，2： | 0 |
| 6 | Editorial显示文摘Thanks to the efforts of many people,we are so delighted to see that the first issue of Statistical Theory and Related Fields(STARF)is published!At this moment,we would like to express our sincere gratitude to the East China Normal University(ECNU),the Chinese Association for Applied Statistics(CAAS),and Taylor&Francis(T&F),for their thoughtfully sponsoring and publishing jointly the STARF;to the authors of the 13 excellent articles in the first issue of STARF for their great supports;to the members of our editorial board for their efforts in handling papers in a short time period;to the staffs from the Department of Serial Publication at ECNU,from the School of Statistics at ECNU,and from T&F,for their efficient administrative and coordination work to make the new journal running well. | Jun Shao Dongchu Sun Danyu Lin | 2017 | Statistical Theory and Related Fields2017，1，1： | 0 |
| 7 | Editorial foreword显示文摘Statistical Theory and Related Fields ushered into its sec-ond year.Again,we would like to take this opportunityto express our sincere gratitude to all the authors andsupporters of this journal.The first article in the first issue of 2018 is a reviewpaper by Prentice and Huang for nutritional epidemi-ology methods,which reviews statistical challenges aswell as opportunities in obtaining reliable informationon dietary approaches to chronic disease prevention.This article is followed by three discussion papers,byFreedman and Shaw,Spiegelman,and Lin,and a rejoin-der by Prentice and Huang.The discussions and rejoin-der add more extensive results and extensions. | Jun Shao Dongchu Sun Danyu Lin | 2018 | Statistical Theory and Related Fields2018，2，1： | 0 |
| 8 | Second Issue,2017显示文摘After the successful publication of the first issue of Statistical Theory and Related Fields in August,we are very happy to see the second issue in print.We would like to take this opportunity to express our sincere gratitude to all the supporters of this journal. | Jun Shao Dongchu Sun Danyu Lin | 2017 | Statistical Theory and Related Fields2017，1，2： | 0 |
| 9 | Editorial foreword显示文摘Statistical Theory and Related Fields is now in its thirdyear of publication. The first article in this first issue of2019 is a discussion paper by professors Bayarri, Berger,Jang, Ray, Pericchi, and Visser with the exciting topicon prior-based Bayesian information criterion for variable selection. Variable selection is a key componentfor dimension reduction in modern statistical applications in the big data era. Both Bayesian and frequentistapproaches have shown their potentials in handlingvariable selection in the past two decades, but bothface various challenges. This article shows a pioneering idea of adding the prior into the penalty term forvariable selection and having different effective sample sizes for different model parameters. The article isfollowed by a total of nine discussions written by wellknown researchers in the area of variable selection, eachof them exhibits some interesting research topics assummarised in the authors’ rejoinder. Started from thetwo issues in 2018, Statistical Theory and Related Fieldscontinues to publish this type of discussion papers andrelated discussions for important topics in statisticaltheory and applications. | Jun Shao Dongchu Sun Danyu Lin | 2019 | Statistical Theory and Related Fields2019，3，1： | 0 |
| 10 | Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’显示文摘We congratulate the authors for this engaging article.It gives us an opportunity to gaze at the idea of BIC and its generalisations.This article provides several important examples and insightful explorations of the issues of using BIC.To overcome the related problems,the article gives detailed steps on defining the proposed PBIC(PBIC*),and illustrates the use of them. | Sifan Liu Dongchu Sun | 2019 | Statistical Theory and Related Fields2019，3，1： | 0 |
| 11 | Intrinsic Bayesian estimation of linear time series models显示文摘Intrinsic loss functions(such as the Kullback-Leibler divergence,i.e.the entropy loss)have been used extensively in place of conventional loss functions for independent samples.But applica-tions in serially correlated samples are scant.In the present study,we examine Bayes estimator of Linear Time Series(LTS)model under the entropy loss.We derive the Bayes estimator and show that it involves a frequentist expectation of regressors.We propose a Markov Chain Monte Carlo procedure that jointly simulates the posteriors of the LTS parameters with frequentist expecta-tion of regressors.We conduct Bayesian estimation of an LTS model for seasonal effects in some U.S.macroeconomic variables. | Shawn Ni Dongchu Sun | 2021 | Statistical Theory and Related Fields2021，5，4： | 0 |
| 12 | Bayesian analysis for quantile smoothing spline显示文摘In Bayesian quantile smoothing spline[Thompson,P.,Cai,Y.,Moyeed,R.,Reeve,D.,&Stander,J.(2010).Bayesian nonparametric quantile regression using splines.Computational Statistics and Data Analysis,54,1138-1150.],a fixed-scale parameter in the asymmetric Laplace likelihood tends to result in misleading fitted curves.To solve this problem,we propose a new Bayesian quantile smoothing spline(NBQSS),which considers a random scale parameter.To begin with,we justify its objective prior options by establishing one sufficient and one necessary condition of the posterior propriety under two classes of general priors including the invariant prior for the scale component.We then develop partially collapsed Gibbs sampling to facilitate the compu-tation.Out of a practical concern,we extend the theoretical results to NBQSS with unobserved knots.Finally,simulation studies and two real data analyses reveal three main findings.Firstly,NBQSS usually outperforms other competing curve fitting methods.Secondly,NBQSS consid-ering unobserved knots behaves better than the NBQSS without unobserved knots in terms of estimation accuracy and precision.Thirdly,NBQSS is robust to possible outliers and could provide accurate estimation. | Zhongheng Cai Dongchu Sun | 2021 | Statistical Theory and Related Fields2021，5，4： | 0 |
| 13 | Posterior propriety of an objective prior for generalized hierarchical normal linear models显示文摘Bayesian Hierarchical models has been widely used in modern statistical application.To deal with the data having complex structures,we propose a generalized hierarchical normal linear(GHNL)model which accommodates arbitrarily many levels,usual design matrices and'vanilla'covari-ance matrices.Objective hyperpriors can be employed for the GHNL model to express ignorance or match frequentist properties,yet the common objective Bayesian approaches are infeasible or fraught with danger in hierarchical modelling.To tackle this issue,[Berger,J,Sun,D.&Song,C.(2020b).An objective prior for hyperparameters in normal hierarchical models.Journal of Multi-variate Analysis,178,104606.http://gffzzd3cc09b8251d45dfsqn9oc9pwnp6b6n6u.ffgz.tsg.suse.edu.cn/10.1016/jmva.2020.104606]proposed a particular objective prior and investigated its properties comprehensively.Posterior propriety is important for the choice of priors to guarantee the convergence of MCMC samplers.James Berger conjec-tured that the resulting posterior is proper for a hierarchical normal model with arbitrarily many levels,a rigorous proof of which was not given,however.In this paper,we complete this story and provide an user friendly guidance.One main contribution of this paper is to propose a new technique for deriving an elaborate upper bound on the integrated likelihood but also one uni-fied approach to checking the posterior propriety for linear models.An eficient Gibbs sampling method is also introduced and outperforms other sampling approaches considerably. | Cong Lin Dongchu Sun Chengyuan Song | 2022 | Statistical Theory and Related Fields2022，6，4： | 0 |
| 14 | OBSERVATION OF MEGAKARYOCYTOPOIESIS IN HUMAN FETUS BY IMMUNOCYTOCHEMICAL STAINING WITH ANTI-PLATELET GLYCOPROTEIN ⅡB /ⅢA MONOCLONAL ANTIBODY显示文摘Fetal liver tissues obtained from 28 human fetuses with gestation age from 3 to 6 months and fetal bone marrow from 35 human fetuses from 3 to 7 months were observed by immunochemical staining with anti-platelet GPⅡ b / Ⅲa monoclonal antibody and ABC technique. In the fetal liver, megakaryocytes were wholly located among growing fetal liver cells and near foci of hemopoiesis. Some megakaryocytes in the fetal liver were small7890- lymphoid-like megakaryocytes. The size of megakaryocytes both in the fetal liver (14.79 ± 4.52μm) and in the fetal bone marrow (16.08±7.39 μm) was small, which did not vary significantly over the gestation age ranging from 3 to 6 or 7 months. However, the maturation stage of megakaryocytes in the fetal liver shifted to more mature stage with the advancement of gestation, although the maturation stage of megakaryocytes in the fetal bone marrow did not change with the advancement of gestation from 4 to 7 months, the megakaryocyte in the fetal bone marrow was less mature | MA Dongchu CHU Junjie SUN Yinghui CHANG Kuizhong ZUO Wei (Department of Experimental Medicine, General Hospital of Shenyang Shenyang, China) Correspondence: Dr. MA Dongchu, Department of Experimental Medicine, General Hospital of Shenyang, 83, Wenhua Road, Shenyang, Liaoning 110015, China. | 1994 | 中国实验血液学杂志1994，2，2： | 0 |
| 15 | Fully Bayesian analysis of the relevance vector machine classification for imbalanced data problem显示文摘Relevance Vector Machine(RVM)is a supervised learning algorithm extended from Support Vector Machine based on the Bayesian sparsity model.Relevance Vector Machine classification suffers from theoretical limitations and computational inefficiency mainly because there is no closed-form solution for the posterior of the weight parameters.We propose two advanced Bayesian approaches for RVM classification,namely the Enhanced RVM and the Reinforced RVM,to perfect the theoretic framework of RVM and extend the algorithm to the imbalanced data problem,which has an arresting skew in data size between classes.First,the Enhanced RVM conducts a strict Bayesian sampling process instead of the approximation method in the original one to remedy its theoretic limitations,especially the nonconvergence of the iterations.Secondly,we conjecture that the hierarchical prior makes the Reinforced RVM achieve consistent estimations of the quantities of interest compared with the non-consistent estimations of the original RVM.Consistency is necessary for RVM classification since it makes the model more stable and localises the relevant vectors more accurately in the imbalanced data problem.The two-level prior also renders the Reinforced one competitive in the imbalanced data problem by building the inner connection of parameter dimensions and alloting a more vital relevance to the small class data weight parameter.The theoretic proofs and several numeric studies demonstrate the merits of our two proposed algorithms. | Wenyang Wang Yanna Sun Keran Li Jinglin Wang Chong He Dongchu Sun | 2023 | CAAI Transactions on Intelligence Technology2023，8，1： | 0 |
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