Randomization in clinical trials with small sample sizes using group sequential designs. by Daniel Bodden, Ralf-Dieter Hilgers, Franz König

“…<h4>Background</h4>Group sequential designs, which allow early stopping for efficacy or futility, may benefit from balanced sample sizes at interim and final analyses. This requirement for balance limits the choice of admissible randomization procedures. …”
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Bidirectional two-sample Mendelian randomization study of atrial fibrillation and breast cancer by Fan Ding, Fan Ding, Chen Chen, Yuling Wang, Yuling Wang, Tingting Zhu, Linke Jiao, Linke Jiao, Zihuan Shen, Zihuan Shen, Zhiwei Zhang, Lifei Lv, Xiangning Cui, Yingdong Lu

“…In this study, bidirectional two-sample Mendelian randomization (MR) combined with meta-analysis was used to evaluate the causal association between BC and AF.MethodsBased on the Genome-Wide Association Studies (GWAS) summary data sets, the Inverse variance weighted (IVW) method was used as the main method, the weighted median method and MR-Egger method were used for Bidirectional Two-Sample Mendelian Randomization, and the Egger intercept test was used to detect horizontal pleiotropy. …”
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The Sensitive Genes for Cervical Cancer: Two-Sample Mendelian Randomization with Experimental Validation by Zhang R, Chai S, Chen Q, Lai J, Cai C

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Efficiency and quality of soil sampling according to a sampling tool by João V. M. Nicoletti, Marcello R. A. Franchi, Anamari V. de A. Motomiya, Wagner R. Motomiya, José P. Molin

“…Therefore, this study aimed to assess the performance of three soil samplers in different management systems in terms of sample quality and operational efficiency. A completely randomized experimental design was used in a factorial scheme. …”
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A Combined Weighting Method Based on Hybrid of Interval Evidence Fusion and Random Sampling by Ying Yan, Bin Suo

“…Cumulative probability function constructing and random sampling processes do not require any human intervention or judgment. …”
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Prediction of drug target interaction based on under sampling strategy and random forest algorithm. by Feng Chen, Zhigang Zhao, Zheng Ren, Kun Lu, Yang Yu, Wenyan Wang

“…However, the current computational models suffer from low accuracy and high false positive rate in the prediction of DTIs, especially for datasets with extremely unbalanced sample categories. To accurately identify the interaction between drugs and target proteins, a variety of descriptors that fully show the characteristic information of drugs and targets are extracted and applied to the integrated method random forest (RF) in this work. …”
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Optimizing Imbalanced Data Classification: Under Sampling Algorithm Strategy with Classification Combination by Nauval Dwi Primadya, Adhitya Nugraha, Sahrul Yudha Fahrezi, Ardytha Luthfiarta

“…To be able to produce good data, it is necessary to do random under sampling as a way to overcome data imbalance. …”
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Improvement of the monochrome image hologram by using a random phase and increasing number of Samples by Baghdad Science Journal

“…This paper present a study about effect of the random phase and expansion of the scale sampling factors to improve the monochrome image hologram and compared it with previous produced others. …”
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Exponential Type Estimators Using Sub-Sampling Method with Applications in Agriculture by Ceren Ünal, Cem Kadılar

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Sampling intensity and size to evaluate harvest losses in soybean crops by Darlei M. Lambrecht, Alessandro D. Lúcio, Thomas N. Martin, Antonia B. S. Feldmann, Rogério P. Amaral, Iuri de O. Buligon, Thauan de C. Tolfo, Maria I. Diel

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Randomization methods and cluster size in cluster randomized trials conducted in elementary and high schools by Pajčin Mirjana, Bukumirić Zoran, Tomašević Jelena, Ilić Aleksandra

Subjects: “…random allocation…”
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Optimization, Design, and Implementation of Biodiversity-Focused Fisheries Survey Stations: A Case Study of the Coastal Waters of Maoming by Yuexiu DENG, Yongheng HUANG, Jianyu DONG, Ning CHEN, Jing ZHANG, Xuefeng WANG

Subjects: “…stratified random sampling…”
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Improving ambulatory saliva-sampling compliance in pregnant women: a randomized controlled study. by Julian Moeller, Roselind Lieb, Andrea H Meyer, Katharina Quack Loetscher, Bettina Krastel, Gunther Meinlschmidt

“…<h4>Objective</h4>Noncompliance with scheduled ambulatory saliva sampling is common and has been associated with biased cortisol estimates in nonpregnant subjects. …”
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Association of Lactate with Risk of Cardiovascular Diseases: A Two-Sample Mendelian Randomization Study by Chang X, Zheng W, Zhao Y, Niku W, Deng B, Liu P, Wang Y

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Metabolic syndrome and cancer risk: A bidirectional two-sample Mendelian randomization study by Qian Wang, Jia Li, Hao Qiao, Yuelang Zhang, Ying Xu, Rui Chen, Kaishunzi Liu, Shuqun Zhang, Guihua Zhuang

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Thyroid function and hepatic fibrosis/cirrhosis: a two-sample Mendelian randomization study by Yan Wang, XiaoLi Zhang, Qin Li, Qing Zhang, Jun Liu

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The Association between Myopia and Anxiety: A Bidirectional 2-Sample Mendelian Randomization Study by Waihang Wong, MD, Yimin Qin, MD, Chi Liu, PhD, Shiran Zhang, PhD, Yu Jiang, PhD, Yangfa Zeng, MD, Decai Wang, PhD, Lingyi Liang, PhD, Xiaotong Han, PhD

“…Design: A bidirectional 2-sample Mendelian randomization (MR) analysis. Subjects: For the forward MR, 11 single nucleotide polymorphisms (SNPs) associated with GAD were obtained from the FinnGen Research (5280 cases and 368 054 controls; European). …”
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The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization by Jian Xiong, Yuxin Sun, Hui Huang, Yu Liu, Fayang Ling, Yin Wei, Qianhua Zheng, Wenchuan Qi, Fanrong Liang

“…Purpose. Two-sample Mendelian randomization (MR) was conducted to assess the causal relationship between angina pectoris and gout. …”
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Association between clonal hematopoiesis and periodontitis: a two-sample mendelian randomization study by Feng Qiu, Wei Shao, Xue Qin, Ran Xu, Hua Lu

“…Recent studies suggest a potential link between CH and periodontitis, but the causal relationship remains unclear. A two-sample Mendelian randomization (MR) analysis was implemented, examining whether CH phenotypes are causally associated with periodontitis. …”
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Association between myopia and diabetic retinopathy: A two-sample mendelian randomization study by Jinyi Xu, Shengsong Xu, Xiao Wang, Chuqi Xiang, Zhenbang Ruan, Mingxin Lu, Liying He, Yin Hu, Xiao Yang

“…Methods: We conducted two-sample mendelian randomization (MR) analyses of any myopia and high myopia on six DR phenotypes, including any DR, background DR, severe background DR, proliferative DR (PDR), diabetic maculopathy and unspecific DR in the primary study. …”
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