Mediators of the association between education and periodontitis: Mendelian randomization study by Yuan-Yuan Chen, Lu-Lu Wang, Shu-Qi Mo, Dan-Yan Zhao, Yu-Zhu Fan, Rui-Nan Zhang, Zheng Zhu, Ling-Ling Guo, Wang-Qin Shen

“…Methods The biggest genome-wide association studies (GWAS) were used to conduct two-sample univariable Mendelian randomization (MR) analyses to evaluate the direct and combined effects of body mass index (BMI), smoking, household income, alcohol drinking, major depression, and EA on chronic periodontitis. …”
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RETRACTED: Mendelian randomization based on immune cells in diabetic nephropathy by Ye Zhou, Hengyan Zhang, Heguo Yan, Heguo Yan, Changxing Huang, Yangwen Liu

“…Sensitivity analysis ensured robustness, heterogeneity checks, and FDR correction minimized false positives.ResultsOur study explored the causal link between diabetic nephropathy (DKD) and immunophenotypes using two-sample Mendelian Randomization (MR) with IVW. Nine immunophenotypes were significantly associated with DKD at p<0.05 after FDR correction. …”
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Dietary factors and risk for endometriosis: a Mendelian randomization analysis by Xia Zhang, Qiaomei Zheng, Lihong Chen

“…The study aimed to investigate the potential causal association between dietary factors and endometriosis using Mendelian randomization (MR). Methods We performed a two-sample MR analysis to investigate the effects of 18 diet-related exposure factors (alcoholic drinks per week, alcohol intake frequency, processed meat intake, poultry intake, beef intake, non-oily fish intake, oily fish intake, pork intake, lamb/mutton intake, bread intake, cheese intake, cooked vegetable intake, tea intake, fresh fruit intake, cereal intake, salad/raw vegetable intake, coffee intake, dried fruit intake) on the risk of endometriosis using summary statistics from the genome-wide association study (GWAS). …”
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Breast Cancer and Meningioma Risk: A Mendelian Randomization Study by Jian‐Wei Huang, Yi‐Fei Wang, Ying‐Qing Hu, Hai‐Yong He, Shuang‐Qi Gao, Ying Guo

“…ABSTRACT Background The exact nature of the link between breast cancer and meningiomas is unknown, although observational studies have shown a correlation between the two. Using a two‐sample Mendelian randomization (MR) strategy, we aimed to investigate the effect of breast cancer on meningiomas. …”
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Systemic lupus erythematosus and epilepsy: A Mendelian randomization study by Yang Hu, Duo Lin, Dongmei Wu, Yuqing Zhang, Gongbo Li

“…This study aimed to investigate the causal role of SLE in epilepsy or any of its subtypes using a two‐sample Mendelian randomization (MR) analysis. Methods Single nucleotide polymorphisms (SNPs) linked to SLE were utilized as instrumental variables in MR analysis to assess their causal impact on epilepsy. …”
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Mendelian randomization analysis to identify potential drug targets for osteoarthritis. by Chengyang Lu, Yanan Xu, Shuai Chen, Li Guo, Pengcui Li, Xiaochun Wei, Xueqin Rong

“…<h4>Method</h4>Causal associations between 1553 circulating proteins and five OA-related traits were assessed in large-scale two-sample MR analyses using Wald ratio or inverse variance weighting, and the results were corrected for Bonferroni. …”
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Insomnia and sleep duration for kidney function: Mendelian randomization study by Yang Zhang, Zhaozhong Zhong, Zuofu Tang, Ruojiao Wang, Jiaqing Wu, Ning Na, Jinhua Zhang

“…This study aims to estimate this relationship using Mendelian randomization (MR).Methods Independent genetic variants strongly associated with insomnia (N = 462,341) and sleep duration (N = 460,099) were selected as instrumental variables from corresponding genome-wide association studies (GWAS). …”
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Micronutrients and skin cancer risk: a Mendelian randomization study by Wangcheng Chen, Lili Pang, Xiuzhen Wei, Yuemei Lan, Xiayi Su, Yaling Dong, Zhibo Zhu, Jie Bai, Jiayan Zhou, Heteng Cui, Baihong Zhang

“…This study systematically investigated the causal effects of 15 micronutrients on non-melanoma skin cancer (NMSC) and malignant melanoma (MM) using Mendelian Randomization (MR). Methods Genetically predicted levels of 15 micronutrients served as instrumental variables in a two-sample MR analysis, utilizing data from the Finnish FinnGen database (version R10). …”
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Characterization of medical device randomized controlled trials with adaptive designs by Gui Su, Dan Shen, Dongyuan Deng, Qianqian Bai, Hui Xie

“…Aim: Adaptive designs are frequently used in drug randomized controlled trials (RCTs). However, their use in medical device RCTs remains unclear. …”

Mendelian Randomized Study of Protective Effect of Statins on Breast Cancer by Di HU, Yifang SHUI, Keke MIAO, Mengquan LI

“…Instrumental variables for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) were derived from a previous human genome-wide association study and restricted to be chromosomally located within 100 kb of the above cholesterol regulatory genes; the instrumental variables could predict TC, LDL-C, or non-HDL-C levels under the regulation of the abovementioned cholesterol-associated genes which were used as exposure factors. Two-sample Mendelian randomization (IVW, MR-PRESSO, and MR-Egger) was used to explore the genetic effects of exposure factors on the risk of all breast cancers, ER+ breast cancer, and ER− breast cancer. …”
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Mendelian randomization study of sleep traits and risk of colorectal cancer by Olympia Dimopoulou, Harriett Fuller, Rebecca C. Richmond, Emmanouil Bouras, Bryony Hayes, Niki Dimou, Neil Murphy, Hermann Brenner, Andrea Gsur, Loic Le Marchand, Victor Moreno, Rish K. Pai, Amanda I. Phipps, Caroline Y. Um, Franzel J. B. van Duijnhoven, Pavel Vodicka, Richard M. Martin, Elizabeth A. Platz, Marc J. Gunter, Ulrike Peters, Sarah J. Lewis, Yin Cao, Konstantinos K. Tsilidis

“…Here we investigated whether genetically predicted chronotype, insomnia and sleep duration are associated with CRC risk in males, females and overall and according to CRC anatomical subsites using Mendelian randomization (MR). The two-sample inverse variance weighted (IVW) method was applied using summary-level data in up to 58,221 CRC cases and 67,694 controls and genome-wide association data of genetic variants for self-reported sleep traits. …”
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Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

“…Developing finite population estimators of parameters such as mean, variance, and asymptotic mean squared error has been one of the core objectives of sample survey theory and practice. Sample survey practitioners need to assess the properties of these estimators so that better ones can be adopted. …”
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History-Dependent Patterns in Randomly Perturbed Nematic Liquid Crystals by A. Ranjkesh, M. Ambrožič, G. Cordoyiannis, Z. Kutnjak, S. Kralj

“…We focus on the impact of the samples history on the universal behavior. The obtained results are of interest for every randomly perturbed system exhibiting a continuous symmetry-breaking phase transition. …”
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Comparative Study of ASE-ASE and ASE-Laser Based Quantum Random Number Generators by Shreyam Maity, Asish Prosad, Harinee Natarajan, V. Balaswamy, Varun Raghunathan

“…Quantum random number generators (QRNG) based on amplified spontaneous emission (ASE) are known to achieve multi-gigabit-per-second rates through high-speed sampling of intensity and phase fluctuations. …”
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Growth Estimators and Confidence Intervals for the Mean of Negative Binomial Random Variables with Unknown Dispersion by David Shilane, Derek Bean

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Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank by Annabel Smith, Jack J. Miller, Daniel C. Anthony, Daniel E. Radford-Smith

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Generalized Class of Finite Population Variance in the Presence of Random Nonresponse Using Simulation Approach by Sapna Javed, Saadia Masood, Ali Shokri

“…In this article, we estimate the finite population variance in random nonresponse using simple random sampling, which may be helpful for data analysis in applied and environmental sciences. …”
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Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection by Tung-Lung Wu

“…This paper proposes an improved random projection-based method for testing high-dimensional two-sample mean vectors and covariance matrices. …”
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The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty by Xiaojun Wu, Jing Wu

“…Accordingly, increasing studies have ignored the important impact of the random sampling uncertainty in the FMEA assessment. …”
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Reliability Analysis on Random Meshing Efficiency of Helical Gear based on Monte Carlo Method by Mingyong Hu, Yunbo Hu, Jinku Li, Wei Liu

“…Five parameters that have a greater impact on the meshing efficiency are selected as random parameters. Through the normal distribution sampling of the random parameters，the reliability effects of each random parameter on the meshing efficiency are obtained. …”
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