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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Damage Evolution and Failure Precursor of Rock-like Material Under Uniaxial Compression Based on Strain Rate Field Statistics by Jin Jin, Ping Cao, Jun Zhang, Yanchao Wang, Chenxi Miao, Jie Li, Xiaohong Bai

“…The strain rate field data have been firstly statistically analyzed to explore the failure precursor based on the intact model and 45° flaw model and then compared to find the influence of the pre-existing flaw on the damage evolution and precursor signal. …”
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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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Influences of footstrike patterns and overground conditions on lower extremity kinematics and kinetics during running: Statistical parametric mapping analysis. by Yifang Zhuang, Wenxing Zhou, Ziwei Zeng, Shiwei Mo, Lin Wang

“…A two-way analysis of variance with statistical parametric mapping was employed to evaluate differences in the biomechanics of the lower extremities between footstrike patterns and among running surfaces. …”
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A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article by Mohammad Reza Mahmoudi, Marzieh Rahmati, Zulkefli Mansor, Amirhosein Mosavi, Shahab S. Band

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Converting Organic Municipal Solid Waste Into Volatile Fatty Acids and Biogas: Experimental Pilot and Batch Studies With Statistical Analysis by Hojjat Borhany

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Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model by Siaw Li Lee, Chin Ying Liew, Chee Khium Chen, Li Li Voon

“…Fitting a time series model to the process data before applying a control chart to the residuals is essential to fulfill the basic assumptions of statistical process control (SPC). Autoregressive integrated moving average (ARIMA) model has been one of the well-established time series modeling approaches that is extensively used for this purpose and is widely recognized for its accuracy and efficiency. …”
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Statistical Analysis on the Mechanical Properties of ATH Nanofiller Addition on the Woven Jute/Polyester Hybrid Composites by the Grey–Taguchi Method by CR Mahesha, Suprabha R, D. Raja Ramesh, Rajesh A S, Melvin Victor De Poures, Ram Subbiah, Wadi B. Alonazi, S. Sivakumar, Agegnehu shara shata

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Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models by Xiaoxue Yang, Yajie Zou, Jinjun Tang, Jian Liang, Muhammad Ijaz

“…Up to date, although a few studies have considered the periodic feature in traffic prediction, very few studies comprehensively evaluate the impact of periodic component on statistical and machine learning prediction models. …”
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COVID-19 Fatality: Statistical Evidence to Engender the Need for Focal Shift from Air Pollutants to Multi-dimensional Intervention by Satya S. Patra, Subhasmita Panda, Trupti Das, Boopathy Ramasamy

“…Therefore, the current study aims to explore the statistical soundness of association of COVID-19 fatality with PM2.5, NO2, and O3 concentration levels across 463 air quality monitoring stations located in 35 selected cities from USA, India and European Regions (France, Germany and Italy). …”
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A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…Aim Here, we present our experience of developing production grade web-apps from the point-of-view of individuals trained primarily as statisticians rather than software developers in the hopes of encouraging and inspiring other groups to develop valuable open-source statistical software whilst also learning from our experiences. …”
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The problems of economic accounting components disunity in Russian companies in the economy digitalisation by Z. V. Chebotareva, Ya. S. Matkovskaya, E. V. Shapoval

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“It all starts with urgency…” Engaging with the local ekklesia of Thessalonica as a window and mirror en route to sustained missionary impact by S. Joubert

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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

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