Are interventional radiology techniques ideal for nonpenetrating splenic injury management: Robust statistical analysis of the Trauma Quality Program database. by Randeep S Jawa, Amit Gupta, James Vosswinkel, Marc Shapiro, Wei Hou

“…We compared SAE to other splenic injury management strategies using robust statistical techniques.<h4>Materials and methods</h4>Univariate analyses of demographics and outcomes were performed for four patient groups: observation, SAE, splenic surgery, splenic surgery + SAE in the American College of Surgeons Trauma Quality Program (TQIP) database. …”
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Substorm‐Time Ground dB/dt Variations Controlled by Interplanetary Shock Impact Angles: A Statistical Study by Denny M. Oliveira, James M. Weygand, John C. Coxon, Eftyhia Zesta

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The Mechanical properties and statistical analysis of the Charpy impact test using the Weibull distribution in jute-polyester and glass-polyester composites by Tahar Tioua, Djamel Djeghader, Bachir Redjel

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Statistical exploration of factors associated with birth of children having sickle cell traits among reproductive-age women in Nigeria by Gabriel Ogunde, Ayodele Shabi, Joshua O. Akinyemi

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Statistical Study of F‐Region Short Period Ionospheric Disturbances Related to Convection in the Lower Atmosphere Over Wuhan, China by Zhenlin Yang, Sheng‐Yang Gu, Yusong Qin, Chen‐Ke‐Min Teng, Fuqing Huang, Wenjie Sun, Xiankang Dou

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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A Comprehensive Evaluation of Nutritional Quality and Antioxidant Capacity of Different Chinese Eggplant Varieties Based on Multivariate Statistical Analysis by Jian Lyu, Ning Jin, Xianglan Ma, Xueyun Yin, Li Jin, Shuya Wang, Xuemei Xiao, Jihua Yu

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Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression by Soren Ventegodt, Joav Merrick

“…Existing standard statistical procedures do not seem to fulfill the needs of the researcher in global quality-of-life (QOL) research, because the most interesting question seems to be the exact size of statistical covariations. …”
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Association between Drinking Habits and Oral Symptoms: A Cross-Sectional Study Based on Japanese National Statistical Data by Takeshi Kamoda, Akira Komatsuzaki, Sachie Ono, Satoshi Tanaka, Yasuno Yokoi

“…The purpose of this study was to investigate the association between drinking habits and subjective symptoms of the oral cavity based on Japanese national statistical data. Methods. The subjects were 8,698 respondents of the Japan National Livelihood Survey 2013, in their 30s to 60s. …”
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GIS based flood susceptibility mapping in the Keleghai river basin, India: a comparative assessment of bivariate statistical models by Kabirul Islam

“…This study develops a scalable model to map flood-prone areas, providing crucial insights for disaster management using bivariate statistical methods (Frequency Ratio, Shannon Entropy, and Information Value), with analyzed eight independent variables: slope, elevation, drainage density, rainfall, topographic wetness index, normalized difference vegetation index, land use, and stream power index. …”
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On the interaction between implicit statistical learning and the alternation advantage: Evidence from manual and oculomotor serial reaction time tasks. by Arianna Compostella, Marta Tagliani, Maria Vender, Denis Delfitto

“…In this study, we examine how implicit statistical learning (ISL) interacts with the cognitive bias of the alternation advantage in serial reaction time (SRT) tasks. …”
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Investigation of Benthic Macroinvertebrate Fauna and Water Quality of Animal Drinking Water Troughs by Multivariate Statistical Methods: The Case of Şarkışla by Menekşe Taş Divrik

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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment by Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi

“…In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications. …”
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Comparative Study of Noise Control in Micro Turbojet Engines with Chevron and Ejector Nozzles Through Statistical, Acoustic and Imaging Insight by Alina Bogoi, Grigore Cican, Mihnea Gall, Andrei Totu, Daniel Eugeniu Crunțeanu, Constantin Levențiu

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Modeling Count Outcomes from HIV Risk Reduction Interventions: A Comparison of Competing Statistical Models for Count Responses by Yinglin Xia, Dianne Morrison-Beedy, Jingming Ma, Changyong Feng, Wendi Cross, Xin Tu

“…The in-depth look at these common issues arising from studies involving behavioral outcomes will promote sound statistical analyses and facilitate research in this and other related areas.…”
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A statistical approach to the use of control entropy identifies differences in constraints of gait in highly trained versus untrained runners by Rana D. Parshad, Stephen J. McGregor, Michael A. Busa, Joseph D. Skufca, Erik Bollt

Subjects: “…statistical hypothesis testing…”
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Source and Ecological Risk Assessment of Potentially Toxic Metals in Urban Riverine Sediments Using Multivariate Analytical and Statistical Tools by Xiaojun Zheng, Abdul Rehman, Shan Zhong, Shah Faisal, Muhammad Mahroz Hussain, Syeda Urooj Fatima, Daolin Du

“…Multivariate and statistical tool advancements help to assess potential pollution threats, their geochemical distribution, and the competition between natural and anthropogenic influences, particularly on sediment contamination with potentially toxic metals (PTMs). …”
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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

“…This paper presents a new statistical method that enables the use of systematic errors in the maximum-likelihood regression of integer-count Poisson data to a parametric model. …”
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Advanced statistical analysis of air quality and its health impacts in India: Quantifying significance by detangling weather-driven effects by Akshansha Chauhan, Guggilla Pavan Sai, Chin-Yu Hsu

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Evaluating Human Factors in TFM Sizing Accuracy: Statistical Findings from a Round-Robin Programme (Part 2) by Mariana Burrowes M. Guimarães, Edward Ginzel, Gabriela Ribeiro Pereira, Cesar Giron Camerini, Cesar Giron Camerini

“…This report summarises the statistical findings of Part 2 of the programme. …”
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