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  1. Article ; Online: Statistical Methods without Estimating the Missingness Mechanism: A Discussion of "Statistical Inference for Nonignorable Missing Data Problems: A Selective Review" by Niansheng Tang and Yuanyuan Ju.

    Zhao, Jiwei

    Statistical theory and related fields

    2018  Volume 2, Issue 2, Page(s) 143–145

    Language English
    Publishing date 2018-09-20
    Publishing country England
    Document type Journal Article
    ISSN 2475-4277
    ISSN (online) 2475-4277
    DOI 10.1080/24754269.2018.1522576
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  2. Article ; Online: A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism

    Zhao, Jiwei / Ma, Yanyuan

    Journal of the American Statistical Association. 2022 Oct. 2, v. 117, no. 540 p.1916-1930

    2022  

    Abstract: We consider the estimation problem in a regression setting where the outcome variable is subject to nonignorable missingness and identifiability is ensured by the shadow variable approach. We propose a versatile estimation procedure where modeling of ... ...

    Abstract We consider the estimation problem in a regression setting where the outcome variable is subject to nonignorable missingness and identifiability is ensured by the shadow variable approach. We propose a versatile estimation procedure where modeling of missingness mechanism is completely bypassed. We show that our estimator is easy to implement and we derive the asymptotic theory of the proposed estimator. We also investigate some alternative estimators under different scenarios. Comprehensive simulation studies are conducted to demonstrate the finite sample performance of the method. We apply the estimator to a children’s mental health study to illustrate its usefulness.
    Keywords Americans ; child health ; journals ; mathematical theory ; models ; sampling ; Asymptotic normality ; Identifiability ; Missingness mechanism ; Nonignorable missing data ; Semiparametric theory ; Shadow variable
    Language English
    Dates of publication 2022-1002
    Size p. 1916-1930.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2064981-2
    ISSN 1537-274X
    ISSN 1537-274X
    DOI 10.1080/01621459.2021.1893176
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: [Effect of CircCCND1 on the Malignant Biological Behaviors of H446 Lung Cancer Cells by Regulating the MiR-340-5p/TGIF1 Axis].

    Dong, Yi / Zhu, Cuimin / Liu, Xin / Zhao, Jiwei / Li, Qingshan

    Zhongguo fei ai za zhi = Chinese journal of lung cancer

    2024  Volume 27, Issue 3, Page(s) 161–169

    Abstract: Background: Lung cancer is a common malignant tumor of the lung. To explore the molecular mechanism of the occurrence and development of lung cancer is a hot topic in current research. Cyclic RNA D1 (CircCCND1) is highly expressed in lung cancer and may ...

    Abstract Background: Lung cancer is a common malignant tumor of the lung. To explore the molecular mechanism of the occurrence and development of lung cancer is a hot topic in current research. Cyclic RNA D1 (CircCCND1) is highly expressed in lung cancer and may be a potential target for the treatment of lung cancer. The aim of this study was to investigate the effect of CircCCND1 on the malignant biological behaviors of lung cancer cells by regulating the miR-340-5p/transforming growth factor β-induced factor homeobox 1 (TGIF1) axis.
    Methods: The expression of CircCCND1, miR-340-5p, and TGIF1 mRNA in human normal lung epithelial cells BEAS-2B and human lung cancer H446 cells were detected. H446 cells cultured in vitro were randomly divided into control group, CircCCND1 siRNA group, miR-340-5p mimics group, negative control group, and CircCCND1 siRNA+miR-340-5p inhibitor group. Cell proliferation, mitochondrial membrane potential, apoptosis, migration, and invasion were detected, and the expressions of CircCCND1, miR-340-5p, TGIF1 mRNA, BCL2-associated X protein (Bax), cleaved Caspase-3, N-cadherin, E-cadherin, and TGIF1 proteins in each group were detected. The targeting relationship of miR-340-5p with CircCCND1 and TGIF1 was verified.
    Results: Compared with BEAS-2B cells, CircCCND1 and TGIF1 mRNA were increased in H446 cells, and miR-340-5p expression was decreased (P<0.05). Knocking down CircCCND1 or up-regulating the expression of miR-340-5p inhibited the proliferation, migration and invasion of H446 cells, decreased the expression of TGIF1 mRNA and TGIF1 protein, and promoted cell apoptosis. Down-regulation of miR-340-5p could antagonize the inhibitory effect of CircCCND1 knockdown on the malignant biological behavior of H446 lung cancer cells. CircCCND1 may target the down-regulation of miR-340-5p, and miR-340-5p may target the down-regulation of TGIF1.
    Conclusions: Knocking down CircCCND1 can inhibit the malignant behaviors of lung cancer H446 cells, which may be achieved through the regulation of miR-340-5p/TGIF1 axis.
    MeSH term(s) Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/pathology ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Lung/pathology ; RNA, Messenger ; RNA, Small Interfering ; Cell Proliferation/genetics ; Cell Movement/genetics ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic ; Repressor Proteins/genetics ; Homeodomain Proteins/genetics
    Chemical Substances MicroRNAs ; RNA, Messenger ; RNA, Small Interfering ; TGIF1 protein, human ; Repressor Proteins ; Homeodomain Proteins ; MIRN340 microRNA, human
    Language Chinese
    Publishing date 2024-04-08
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2438672-8
    ISSN 1999-6187 ; 1009-3419
    ISSN (online) 1999-6187
    ISSN 1009-3419
    DOI 10.3779/j.issn.1009-3419.2024.106.05
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Gigantic Flaming Cells in an IgA-MGUS patient.

    Pan, Wei / Zhou, Yuguo / Zhao, Jiwei / Liu, Jinlin

    Annales de biologie clinique

    2023  Volume 81, Issue 2, Page(s) 217–218

    MeSH term(s) Humans ; Paraproteinemias ; Multiple Myeloma ; Lymphocytes ; Immunoglobulin A ; Monoclonal Gammopathy of Undetermined Significance
    Chemical Substances Immunoglobulin A
    Language English
    Publishing date 2023-04-04
    Publishing country France
    Document type Journal Article
    ZDB-ID 418098-7
    ISSN 1950-6112 ; 0003-3898
    ISSN (online) 1950-6112
    ISSN 0003-3898
    DOI 10.1684/abc.2023.1795
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  5. Article: Reducing Bias for Maximum Approximate Conditional Likelihood Estimator with General Missing Data Mechanism.

    Zhao, Jiwei

    Journal of nonparametric statistics

    2017  Volume 29, Issue 3, Page(s) 577–593

    Abstract: In missing data analysis, the assumption of the missing data mechanism is crucial. Under different assumptions, different statistical methods have to be developed accordingly; however, in reality this kind of assumption is usually unverifiable. Therefore ...

    Abstract In missing data analysis, the assumption of the missing data mechanism is crucial. Under different assumptions, different statistical methods have to be developed accordingly; however, in reality this kind of assumption is usually unverifiable. Therefore a less stringent, and hence more flexible, assumption is preferred. In this paper, we consider a generally applicable missing data mechanism, which includes various instances in all three scenarios: missing completely at random, missing at random, and missing not at random. Under this general missing data mechanism, we introduce the conditional likelihood and its approximate version as the base for estimating the unknown parameter of interest. Since this approximate conditional likelihood uses the completely observed samples only, it may result in large estimation bias, which could deteriorate the statistical inference and also jeopardize other statistical procedure. To tackle this problem, we propose to use some resampling techniques to reduce the estimation bias. We consider both the Jackknife and the Bootstrap in our paper. We compare their asymptotic biases through a higher order expansion up to
    Language English
    Publishing date 2017-06-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2014424-6
    ISSN 1029-0311 ; 1048-5252
    ISSN (online) 1029-0311
    ISSN 1048-5252
    DOI 10.1080/10485252.2017.1339306
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  6. Book ; Online: ReTaSA

    Kim, Hwanwoo / Zhang, Xin / Zhao, Jiwei / Tian, Qinglong

    A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

    2024  

    Abstract: The presence of distribution shifts poses a significant challenge for deploying modern machine learning models in real-world applications. This work focuses on the target shift problem in a regression setting (Zhang et al., 2013; Nguyen et al., 2016). ... ...

    Abstract The presence of distribution shifts poses a significant challenge for deploying modern machine learning models in real-world applications. This work focuses on the target shift problem in a regression setting (Zhang et al., 2013; Nguyen et al., 2016). More specifically, the target variable y (also known as the response variable), which is continuous, has different marginal distributions in the training source and testing domain, while the conditional distribution of features x given y remains the same. While most literature focuses on classification tasks with finite target space, the regression problem has an infinite dimensional target space, which makes many of the existing methods inapplicable. In this work, we show that the continuous target shift problem can be addressed by estimating the importance weight function from an ill-posed integral equation. We propose a nonparametric regularized approach named ReTaSA to solve the ill-posed integral equation and provide theoretical justification for the estimated importance weight function. The effectiveness of the proposed method has been demonstrated with extensive numerical studies on synthetic and real-world datasets.

    Comment: Accepted by ICLR 2024
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2024-01-29
    Publishing country us
    Document type Book ; Online
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  7. Article ; Online: Association Between Atherogenic Index of Plasma and Risk of Incident Major Adverse Cardiovascular Events.

    Zhi, Yao-Wei / Chen, Run-Gui / Zhao, Ji-Wei / Zhou, Shu-Xuan / He, Zhi-Jie

    International heart journal

    2024  Volume 65, Issue 1, Page(s) 39–46

    Abstract: It is unclear whether the atherogenic index of plasma (AIP) is associated with major adverse cardiovascular events (MACEs) in the general population. A total of 361,644 participants (aged 56.19 ± 8.09 years; 44.79% male) free of a history of MACEs at ... ...

    Abstract It is unclear whether the atherogenic index of plasma (AIP) is associated with major adverse cardiovascular events (MACEs) in the general population. A total of 361,644 participants (aged 56.19 ± 8.09 years; 44.79% male) free of a history of MACEs at baseline from the UK Biobank data were included in the analysis. The AIP was calculated using log (triglyceride/high-density lipoprotein-cholesterol). Over a mean follow-up of 12.19 ± 1.60 years, 16,683 participants developed MACEs. After adjustment for traditional risk factors, each 1 unit increase in AIP was associated with a 45.3% higher risk of incident MACEs (hazard ratio (HR), 1.453 [95% confidence interval (CI) 1.371-1.540], P < 0.001). Results were similar when individuals were categorized by the AIP quartiles (HR, 1.283 [95% CI 1.217-1.351]; comparing extreme quartiles). The subgroup analyses showed that the association between AIP and risk of incident MACEs was more obvious in female participants who are < 60 years old and free of hypertension or diabetes. Sensitivity analysis included participants without any lipid-lowering medication or excluded incident MACEs in the first 2 years of follow-up confirming the robustness of the findings. Elevated AIP is a risk factor of incident MACEs in the general population, independent of traditional risk factors.Dynamic monitoring of the AIP may help select the population at high risk of cardiovascular events and guide primary prevention.
    MeSH term(s) Humans ; Male ; Female ; Middle Aged ; Atherosclerosis ; Hypertension ; Triglycerides ; Risk Factors ; Diabetes Mellitus/epidemiology
    Chemical Substances Triglycerides
    Language English
    Publishing date 2024-02-01
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2187806-7
    ISSN 1349-3299 ; 1349-2365
    ISSN (online) 1349-3299
    ISSN 1349-2365
    DOI 10.1536/ihj.23-406
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  8. Article: Rod-Shaped Hemoglobin Crystals: Clues to the Diagnosis of Hemoglobin C Disease.

    Xu, Ke / Zhao, Jiwei / Dramé, Boubacar Sidiki Ibrahim / Diallo, Yacouba L / Zhou, Yuguo / Liu, Jinlin

    Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion

    2024  Volume 40, Issue 2, Page(s) 368–369

    Abstract: The typical rod-shaped HbC crystals in the peripheral blood smear often provide the diagnostic clue to the HbC disease. This case highlights that a careful review of blood film morphology may be helpful to detect HbC disease, although this case's routine ...

    Abstract The typical rod-shaped HbC crystals in the peripheral blood smear often provide the diagnostic clue to the HbC disease. This case highlights that a careful review of blood film morphology may be helpful to detect HbC disease, although this case's routine blood test is normal and do not meet the rules of re-examinations.
    Language English
    Publishing date 2024-02-01
    Publishing country India
    Document type Journal Article
    ZDB-ID 2422370-0
    ISSN 0974-0449 ; 0971-4502
    ISSN (online) 0974-0449
    ISSN 0971-4502
    DOI 10.1007/s12288-023-01713-7
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  9. Article: A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm.

    Zhao, Jiwei / Nie, Guangzheng / Yan, Meng / Wang, Yaowen / Wang, Luyao

    Water science and technology : a journal of the International Association on Water Pollution Research

    2023  Volume 88, Issue 4, Page(s) 1015–1038

    Abstract: The accurate forecasting of precipitation in the upper reaches of the Yellow River is imperative for enhancing water resources in both the local and broader Yellow River basin in the present and future. While many models exist for predicting ... ...

    Abstract The accurate forecasting of precipitation in the upper reaches of the Yellow River is imperative for enhancing water resources in both the local and broader Yellow River basin in the present and future. While many models exist for predicting precipitation by analyzing historical data, few consider the impact of different frequency sequences on model accuracy. In this study, we propose a coupled monthly precipitation prediction model that leverages the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), gated recurrent unit neural network (GRU), and attention mechanism-based transformer model. The permutation entropy (PE) algorithm is employed to partition the data processed by CEEMDAN into different frequencies, with different models utilized to predict different frequencies. The predicted results are subsequently combined to obtain the monthly precipitation prediction value. The model is applied to precipitation prediction in four regions in the upper reaches of the Yellow River and compared with other models. Evaluation results demonstrate that the CEEMDAN-GRU-Transformer model outperforms other models in predicting precipitation for these regions, with a coefficient of determination R
    MeSH term(s) Entropy ; Algorithms ; Neural Networks, Computer ; Rivers ; Water Resources
    Language English
    Publishing date 2023-08-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 764273-8
    ISSN 1996-9732 ; 0273-1223
    ISSN (online) 1996-9732
    ISSN 0273-1223
    DOI 10.2166/wst.2023.257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Einzelsignatur: Show issues

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  10. Article ; Online: Concurrent contracted cells, bite cells, hemighost cells, ghost cells, doughnut cells, and Heinz body in a 16 months-old boy.

    Wei, Yi / Zhao, Jiwei / Zhou, Yuguo / Xu, Yuni / Liu, Jinlin

    International journal of laboratory hematology

    2023  Volume 45, Issue 3, Page(s) 271–272

    MeSH term(s) Male ; Humans ; Infant ; Heinz Bodies ; Erythrocytes, Abnormal ; Erythrocytes
    Language English
    Publishing date 2023-02-20
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2268590-X
    ISSN 1751-553X ; 1751-5521 ; 0141-9854
    ISSN (online) 1751-553X
    ISSN 1751-5521 ; 0141-9854
    DOI 10.1111/ijlh.14048
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    Zs.A 1499: Show issues Location:
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