Bayesian Reanalysis of Statistically Nonsignificant Outcomes in Plastic Surgery Clinical Trials by Gordon C. Wong, MBBS, MRCS, Cynthia Huang, BS, Joseph N. Fahmy, MD, MS, Casey Zhang, BS, Teun Teunis, MD, PhD, Kevin C. Chung, MD, MS

“…Methods:. This cross-sectional study conducted a post hoc Bayesian analysis of statistically nonsignificant outcomes from RCTs published in Plastic and Reconstructive Surgery from 2013 to 2022. …”
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Statistical Techniques for Planning Internal Audit Engagements and Analytical Procedures Selection by M. F. Safonova, A. Yu. Alekseenko

“…This research applies such statistical instruments as the normal distribution, the Kolmogorov–Smirnov test and regression analysis. …”
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Multi-component screening coupled with ultrasound-assisted green extraction based on HPLC-HRMS for bio-actives analysis in saffron (Crocus sativus L.) by Shouying Wang, Yiqing Song, Miaomiao Chen, Bing Bai, Lin Zhou, Changyan Zhou, Yongchun Zhang, Zhiying Huang, Wenshuai Si

“…A database of 115 bio-actives from seven subclasses, including information on retention time, parent ion m/z, fragment m/z, and isotopic fit, was established, and an instrumental method for simultaneous analysis of these targets was optimised. …”
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Statistically based algorithm for differential diagnosis of arthropathies based on quantitative osteoscintigraphy by E. G. Prokhorova, E. A. Shikina, G. E. Zhilyaev, E. V. Zhilyaev

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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

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Statistical Study of the Impact of Digitalization of Organizations on Lending Activity: Regional Level by I. K. Zarov

“…The purpose of this study is to develop statistical indexes to assess the impact of digitalization of organizations on their credit activity by Russian regions, and to analyze interdependence of suggested indexes to find out the patterns of such an impact.Methods. …”
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Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

“…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. …”
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Clinical and statistical indicators of the incidence of children born after in vitro fertilization by N. P. Provatar, E. I. Kashirskayа, N. Yu. Tanusсheva, V. N. Kuzmin, N. V. Tkacheva, L. A. Goncharova

“…Methods of clinical (including somatometry), laboratory and statistical analysis were used.Results.116 children born through in vitro fertilization were examined, their somatometric parameters, Apgar score, morbidity and laboratory parameters were studied. …”
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All-cause mortality according to COVID-19 vaccination status: An analysis of the UK office for National statistics public data [version 2; peer review: 2 approved] by Marco Alessandria, Alberto Donzelli, Marco Cosentino, Giovanni Di Palmo, Giovanni Malatesta

“…The UK is perhaps the only country which has made publicly available all-cause mortality data by vaccination status. Methods Data from April 2021 to May 2023 published by the UK Office for National Statistics (ONS) were retrospectively analyzed by age groups and vaccination status; the standardized mortality ratio (SMR) for all-cause and non-COVID-19 mortality was calculated against the corresponding unvaccinated groups. …”
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Trends in lower extremity peripheral arterial disease incidence since 1990 and forecasting future statistics using Global Burden of Disease 2021: a time-series analysis by Jiacheng Li, Chengxin Weng, Tiehao Wang, Wei Lu, Lihong Lin, Jiawen Wu, Guobing Cheng, Qiang Hu, Yi Guo

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A new statistical model for advanced modeling of cancer disease data

“…These features make the GOBPW model suitable for statistical analysis in biomedical and engineering applications. …”
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Protective potential of high-intensity interval training on cardiac structure and function after COVID-19: protocol and statistical analysis plan for an investigator-blinded random... by Lars Køber, Mathias Ried-Larsen, Bente Klarlund Pedersen, Niels Vejlstrup, Frederik Foged, Iben Elmerdahl Rasmussen, Josephine Bjørn Budde, Rasmus Syberg Rasmussen, Villads Rasmussen, Mark Lyngbæk, Simon Jønck, Rikke Krogh-Madsen, Birgitte Lindegaard, Regitse Højgaard Christensen, Peter Godsk Jørgensen, Morten Asp Vonsild Lund, Ronan M G Berg

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Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical... by Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin

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Numerical Analysis of Seepage in Steady and Transient Flow State by the Radial Basis Function Method by Rasoul Daneshfaraz, Sina Sadeghfam, Roghayeh Adami, Hamidreza Abbaszadeh

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Features of Statistical Accounting of Allergic Diseases in Children — Evidence from Moscow by Anita R. Denisova, Alexander B. Malahov, Alexandr N. Pampura, Elena A. Vishneva, Margarita A. Soloshenko, Nikoloz M. Gaboshvili, Leyla S. Namazova-Baranova

“…Results. For a comparative analysis of statistical data from UMIAS and FSO No. 12, we studied the information of 60,851 children under 18 years of age. …”
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mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statis... by Tomas Vetrovsky, Norbert Kral, Marketa Pfeiferova, Bohumil Seifert, Vaclav Capek, Katerina Jurkova, Michal Steffl, Richard Cimler, Jitka Kuhnova, Tess Harris, Michael Ussher, Charlotte Wahlich, Katerina Malisova, Jana Pelclova, Jan Dygryn, Steriani Elavsky, Iris Maes, Delfien Van Dyck, Alex Rowlands, Tom Yates

“…The trial incorporates the estimand framework to provide transparent and structured treatment effect estimation. Discussion This statistical analysis plan outlines a robust approach to addressing participant non-adherence, protocol violations, and missing data. …”
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Coarse-graining network flow through statistical physics and machine learning by Zhang Zhang, Arsham Ghavasieh, Jiang Zhang, Manlio De Domenico

“…Recent advances in statistical physics have made it possible to capture key network properties, such as flow diversity and signal speed, using entropy and free energy. …”
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Quality evaluation and price discrimination of jasmine-scented tea by Zhang Jun, Gong Shuying, Tang Desong, Zhang Yingbin, Chen Meili

“…Factor analysis and discriminant analysis are statistical methods widely used in natural science, medicine, economics, sociology and many other fields. …”
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Usage of the digital economy information infrastructure to improve the quality of statistical data by Yuriy P. Lipuntsov

“…The international statistical practice use methods of standardizing the turnover of statistical data. …”
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Teaching Statistics and Data Science Collaboration via a Community of Practice by Jessica L. Alzen, Kimberly J. Cho, Eric A. Vance

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