Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…<h4>Purpose</h4>We aim to evaluate various proxy selection methods within the context of high-dimensional propensity score (hdPS) analysis. …”
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Сlinical and epidemiological analysis of cases of enterovirus infection in the oryol region in adults by S. A. Arkhipina, E. A. Grinishina

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Freedom of contract: the evolution of a legal principle in the era of information by V. A. Boldyrev, V. A. Maksimov

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An introduction to Bayesian geospatial analysis using a Bayesian multilevel model case study by Wei Tu, Lili Yu, Jun Tu

“…Despite the rapidly growing interest in Bayesian inference, recent publications reveal common issues that suggest even experienced researchers across disciplines, including geospatial research, may not always follow the proper procedure in conducting Bayesian analysis and report results. This study aims to promote Bayesian inference and the best practice guidelines of Bayesian analysis, targeting beginners in the geospatial community. …”
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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

“…Traditional approaches, which rely heavily on rock physics models, often face challenges in accurately capturing the complex relationships between these parameters. While statistical methods such as canonical correlation analysis have shown promise in identifying linear relationships and efficiently estimating petrophysical parameters, they tend to overlook low-frequency variation trends, which can lead to unreliable estimation results. …”
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Features of survival analysis on patients on the «waiting list» for kidney transplantation by A. B. Zulkarnaev

Subjects: “…survival analysis…”
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Geospatial Analysis of the Proportion of Persons Defined as Underrepresented in Medicine for Each Medical School and Their Surrounding Core-Based Statistical Area by Zoel A. Quiñónez, Angel Benitez-Melo, Laura M. Diaz, Michael Lennig, Danton Char, Charlotte Smith

“…Purpose: We propose that medical schools better reflect their surrounding community, both because racially/ethnically concordant physicians have been shown to provide better care and to repair the historical and current racist impacts of these institutions that have criminalized, displaced, and excluded local Black and Brown communities. Methods and Results: In this study, we used geospatial analysis to determine that medical school enrollments generally fail to reflect their surrounding community, represented as their core-based statistical area, within which the individual medical schools reside.…”
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Multivariate Statistical Analysis as a Supplementary Tool for Interpretation of Variations in Salivary Cortisol Level in Women with Major Depressive Disorder by Ewelina Dziurkowska, Marek Wesolowski

“…Multivariate statistical analysis is widely used in medical studies as a profitable tool facilitating diagnosis of some diseases, for instance, cancer, allergy, pneumonia, or Alzheimer’s and psychiatric diseases. …”
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Applying Methods of Exploratory Data Analysis and Methods of Modeling the Unemployment Rate in Spatial Terms in Poland by Marek Ogryzek, Marcin Jaskulski

“…The use of data analysis methods based on statistical tests and the examination of the distribution of data on the unemployment rate in Poland at county (district) and province (voivodeship) level for the period 2004–2022 will be performed in order to validate the results of the research. …”
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis by Jong-Ho Kim, Hye-Sook Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

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Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks by Muhammad Muneeb Khan, Muhammad Kaleem Sarwar, Muhammad Awais Zafar, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Saif Haider, Abdelaziz M. Okasha, Ahmed Z. Dewidar, Mohamed A. Mattar, Ali Salem, Ali Salem

“…The average RMSE and R2 of ANN models is 9.68 and 0.92 and the average RMSE and R2 of ARIMA Model is 10.17 and 0.88, this results in improvement of average RMSE and R2 by 4.82% and 4.35% in case of ANN Models when compared with ARIMA Model. Qualitative analysis shows that ANN techniques better predicted the high and low flows when compared with statistical methods. …”
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Construction of a Sparse Covariance Matrix Based on Statistical Data Analysis and Its Use in Choosing an Optimal Portfolio of Securities by V. A. Gorelik, T. V. Zolotova

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Discriminating the origin of fish from closely related water bodies by combining NMR spectroscopy with statistical analysis and machine learning by Stefan Kuhn, Kärt Reitel, Elmina Homapour, Kärolin Kork, Väino Vaino, Timo Arula, Priit Bernotas, Indrek Reile

“…Statistical methods including principal component analysis (PCA) and linear discriminant analysis (LDA) are typically applied to NMR data to correlate spectra with a particular research question.Herein we examine fish from three closely related water bodies and demonstrate that reliable determination of the water body that a particular fish originates from by traditional statistical analysis (PCA and LDA) of fish NMR spectra is not possible. …”
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Analysis of Residential Function Spatial Variation of the City of Rwandz by Kamaran Wali Mahmood

“…The paper aims to disclose the spatial variation of the characteristics of the Rwandz city's residential function by utilizing a questionnaire, statistical analysis, and GIS tools to classify the residences into areas within the city and evaluate and clarify the specific aspects of each region. …”
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A RESEARCH ON LOAD SPECTRUM STATISTICAL ANALYSIS OF T100C TRAIN BOGIE BASED ON KERNEL DENSITY ESTIMATION ALGORITHM by GAO YanJie, YANG YongFa, CHEN Jiong, YANG CanYu

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Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. by Miranda Y Mortlock, David Carey, Hamish Murray, Peter J Baker, Paul G Corry

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Clinical and statistical analysis of predictors oflethal outcomes in tuberculosis patients treated in medical units of the Russian Federal penitentiary system by M. E. Vostroknutov, S. A. Sterlikov, V. G. Kudrina, N. M. Popova

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Analysis the Degree of Development and Spatial Inequalities of Agricultural Sector in Kurdistan Province from 1996 to 2016 by Hosein Nazmfar, Anvar AmanoIapour

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Statistical analysis of adaptive progressive type-II censored competing risks data from generalized logistic distribution with application by Mustafa M. Hasaballah, Yusra A. Tashkandy, Oluwafemi Samson Balogun, M. E. Bakr

“…This paper provides a detailed statistical analysis of adaptive progressive type-II censored competing risks data, modeled with the generalized logistic distribution. …”
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Urban Heat Islands and Land-Use Patterns in Zagreb: A Composite Analysis Using Remote Sensing and Spatial Statistics by Dino Bečić, Mateo Gašparović

“…This research analyzes the spatial distribution of urban heat islands in Zagreb, Croatia, utilizing remote sensing data, urban planning metrics, and spatial-statistical analysis. Composite rasters of land surface temperature (LST) and the Normalized Difference Vegetation Index (NDVI) were generated from four cloud-free Landsat 9 images obtained in the summer of 2024. …”
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