Showing 81 - 100 results of 18,849 for search 'sample random sampling.', query time: 0.10s Refine Results
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    Causal relationship between gout and Alzheimer's disease: a two-sample Mendelian randomization analysis by Kong Chuijia, Zhang Ying, Tan Zhenkun, Ping Junjiao, Zhang Haibo, Zhang Jie, Luo Jiali, Liu Xinxia

    Published 2025-04-01
    “…Previous studies have suggested that gout may reduce the risk of developing AD, but the causal relationship between the two still requires further research.ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization (MR) analysis, so as to provide references for the prevention and treatment of AD.MethodsData from Genome-Wide Association Studies (GWAS) extracted in 2024 were analyzed, using pooled data on gout (6 810 cases in the case group and 477 788 cases in the control group) published by UK Biobank in 2021 as the exposure variable, and data on AD (3 899 cases in the case group and 214 893 cases in the control group) published by FinnGen in the same year as the outcome variable. …”
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    Sampled-Data Consensus for High-Order Multiagent Systems under Fixed and Randomly Switching Topology by Niu Jie, Li Zhong

    Published 2014-01-01
    “…For systems under randomly switching topologies, tree-type and complete broadcasting network with Bernoulli packet losses are discussed, and explicit allowable sampling period bounds are, respectively, given based on the unstable eigenvalues of agent’s system matrix and packet loss probability. …”
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    Association between Chronic Hepatitis B and Osteoporosis: a two-sample mendelian randomization study by Zhi-xiang Du, Li Wang, Miao-yang Chen, Yi-fan Hu, Yan-dan Zhong, Qing-fang Xiong, Yang Li, Yong-feng Yang

    Published 2025-03-01
    “…The present study assessed the causal effect of CHB on OP via two-sample Mendelian randomization (MR). Methodology: We performed a two-sample MR study using summary-level data from genome-wide association studies (GWASs) of the CHB and OP patients derived from the BioBank Japan Project (BBJ). …”
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    Causal Associations Between Cystatin and Lung Cancer: A Two‐Sample Mendelian Randomization Study by Chunling Zhang, Riya Wu, Hang Liu, Shihuan Yu

    Published 2025-07-01
    “…Methods Based on genomic statistics of seven different cystatins and three subtypes of lung cancer, we conducted a two‐sample Mendelian randomization (MR) study. The inverse‐variance weighted (IVW) method was the main approach for causality estimation. …”
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    Two-sample Mendelian randomization study on the causal association between air pollution and Alzheimer′s disease by ZHANG Yingying, ZHANG Junyao, SONG Jiwei, WANG Shengjie, YAO Junyan

    Published 2025-01-01
    “…Objective·To explore the causal relationship between air pollution and the risk of Alzheimer′s disease (AD) by using two-sample Mendelian randomization (MR).Methods·Based on the data from the genome-wide association study (GWAS), a two-sample MR analysis was conducted to evaluate the causal relationship between air pollution and the risk of AD. …”
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    Association between dietary intakes and pregnancy complications: a two-sample Mendelian randomization analysis by Zengle Zhao, Tongmin Chang, Xiaoyan Liu, Xuening Zhang, Xinjie Liu, Yuan Zhang, Jiaqi Chen, Yuan Zhang, Ming Lu

    Published 2025-03-01
    “…Abstract Background Previous studies reported possible connections between dietary factors and pregnancy complications; however, confounders tend to confound the results. A two-sample Mendelian randomization (MR) study was carried out to explore the impact of dietary intakes on the risk of pregnancy complications. …”
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    On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling by Saddam Hussain, Mi Zichuan, Sardar Hussain, Anum Iftikhar, Muhammad Asif, Sohail Akhtar, Sohaib Ahmad

    Published 2020-01-01
    “…In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. The estimations are done in two nonresponse scenarios. …”
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    Enhancing fraud detection in imbalanced motor insurance datasets using CP-SMOTE and Random Under-Sampling by Pornpawee Komsrimorakot, Thitirat Siriborvornratanakul

    Published 2025-07-01
    “…We propose a novel hybrid technique that integrates Center Point SMOTE (CP-SMOTE) with Random Under-Sampling (RUS) to effectively address class imbalance. …”
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    An Overview and Comparison of Traditional Motion Planning Based on Rapidly Exploring Random Trees by Yang Chu, Quanlin Chen, Xuefeng Yan

    Published 2025-03-01
    “…Resolution-complete algorithms, on the other hand, ensure completeness only if the resolution parameter is sufficiently fine, but they suffer severely from the curse of dimensionality. In contrast, sampling-based algorithms, such as Rapidly Exploring Random Trees (RRT) and its variants, have gained the increasing attention of researchers due to their computational efficiency and effectiveness, particularly in high-dimensional problems. …”
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    Incidence of intestinal parasitic infections among random samples at Al- Aziziyah hospital in Wasit province/Iraq by Zeina Anwar Jaffar, ashwak jasim Kzar Shammari, Maysoon Abdul-zahra Merdaw

    Published 2021-06-01
    “…The distribution of parasitic diseases between rural areas was 66.4% and urban areas was 33.6%.n conclusion, the incidence of intestinal parasitic infection among random sample demands improvement of health education with environmental sanitation and quality of water sources.…”
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