Julius Kruopis – the pioneer of applied statistics in Lithuania by Vilijandas Bagdonavičius, Vydas Čekanavičius, Rūta Levulienė, Pranas Vaitkus

“…Kruopis became evident through  mathematical and statistical modeling of real processes. PhD thesis ``Estimation of Markov processes parameters'' by J. …”
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Optimising Palm Olein-Based Betamethasone 17-Valerate Emulsions for Scalable Manufacturing and Stability by Thazin Win, Mohd. Rushdi Abu Bakar, Farahidah Mohamed, Muhammad Taher, Md. Zaidul I. Sarker

“…Design of experiments (DoE) where response surface methodology as well as three-level, two-factors (32) full factorial design were used to develop statistical models for representing the possible relationships between factors: homogenisation time and speed, and responses: particle size and phase separation. …”
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Towards compressive and tensile strengths of hybrid steel and PVA fibre-reinforced cementitious composites: Experimental and analytical by Gang Chen, Mingyan Lv, Haitang Zhu, Jianwen Zhang, Le Zhang

“…In addition, currently available analytical/statistical models for predicting the strength of HFRCCs are far from satisfactory and, therefore, need to be improved. …”
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QTL mapping and candidate gene analysis of element accumulation in rice grains via genome-wide association study and population genetic analysis by Min Li, Mengxue Gao, Jinmei Huang, Shaojuan Jin, Yamei Lv, Lin Wang, Tao Huang, Fengcai Wu, Zhijian Xu, Yinghua Pan, Zhixia Liu, Chaopu Zhang, Yuntao Liang, Lijun Meng, Jianlong Xu

“…Results We conducted genetic dissection of four toxic heavy metal elements (lead, cadmium, mercury, and chromium), one quasi metallic element (arsenic), and one essential element (selenium) in grains of 290 Xian and 308 Geng rice accessions through a genome-wide association study (GWAS) based on three statistical models and assays of element concentrations from three environments. …”
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TARGET Protein: the effect of augmented administration of enteral protein to critically ill adults on clinical outcomes—statistical analysis plan for a cluster randomized, cross-se... by Sophie Zaloumis, Matthew J. Summers, Jeffrey J. Presneill, Rinaldo Bellomo, Lee-anne S. Chapple, Marianne J. Chapman, Adam M. Deane, Suzie Ferrie, Craig French, Sally Hurford, Nima Kakho, Matthew J. Maiden, Stephanie N. O’Connor, Sandra L. Peake, Emma J. Ridley, An Tran-Duy, Patricia J. Williams, Paul J. Young, Amalia Karahalios, on behalf of the TARGET Protein Investigators, the Australian, New Zealand Intensive Care Society Clinical Trials Group

“…The statistical methods and models which will be used to estimate the effects for the primary and secondary outcomes are described. All statistical models will account for the cluster-randomized cross-over design to ensure correct estimation of the 95% confidence intervals. …”
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Characterization of Complex Image Spatial Structures Based on Symmetrical Weibull Distribution Model for Texture Pattern Classification by Jinping Liu, Jiezhou He, Zhaohui Tang, Pengfei Xu, Wuxia Zhang, Weihua Gui

“…This work presents an image statistical modeling-based TP identification (ISM-TPI) method. …”
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Comprehensive Metabolomic Profiling in Adults with X-Linked Hypophosphatemia: A Case-Control Study by Luis Carlos López-Romero, José Jesús Broseta, Marta Roca-Marugán, Noemí Máñez Ramírez, Julio Hernández-Jaras

“…We employed multivariate statistical models, including a principal component analysis (PCA) and an orthogonal partial least squares discriminant analysis (OPLS-DA) regression model. …”
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Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model by .Kikawa, Cliff R, Kiconco, Charity, Moses, Agaba, Ntirampeba, Dimas, Ssematimba, Amos, Kalema, Billy M.

“…This study’s objective is to identify the factors that significantly help Ugandan SMEs implement SMM techniques to enhance their commercial performance. Here, statistical models are utilized to analyze how the age and gender of SMEs owners as moderating variables affect the adoption and performance of SMEs in Uganda. …”
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PM2.5 in Sri Lanka: Trend Analysis, Low-cost Sensor Correlations and Spatial Distribution by Ranil Dhammapala, Ashani Basnayake, Sarath Premasiri, Lakmal Chathuranga, Karen Mera

“…The influence of meteorological variables and the performance of different statistical models were considered and the regression coefficients of the most applicable models are presented. …”
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Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

“…These methods have prompted the development of statistical models to suit specific sampling designs and get reliable ecological inferences. …”
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Agent based modelling of blood borne viruses: a scoping review by Seun Ale, Elizabeth Hunter, John D. Kelleher

“…Abstract Background The models that historically have been used to model infectious disease outbreaks are equation-based and statistical models. However, these models do not capture the impact of individual and social factors that affect the spread of common blood-borne viruses (BBVs) such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV). …”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…**Conclusions:** HIRD data reveal mean adherence rate of 59% (SD 29%), providing the evidence for the opportunity to increase adherence rate by around 40%. Statistical modeling results reveal structural determinants, such as the opportunity to nudge, are higher among younger patients, as they have higher probability of being non-adherent. …”
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Assessment of heavy metal pollution and spatial distribution in waterfalls of Chattogram district, Bangladesh: Implications for drinking and irrigation purposes by Abdur Rouf Azad, Md. Rezaul Karim, Md. Refat Jahan Rakib, Md. Ripaj Uddin

“…Heavy Metal Pollution Indices (HPIs) and multivariate statistical models (PCA, CA, and Pearson correlation) were applied to evaluate spatial-temporal variations, distribution, and pollution sources. …”
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Decoding airway granulogenesis in children: unveiling risk factors for tracheobronchial foreign body aspiration and complications by Yuting You, Meili Shen, Li’e Zeng, Jingyang Zheng

“…The solid foreign bodies were mostly nut foreign bodies, the location of implantation was the left lung rather than the right lung in many patients, and complications such as pulmonary atelectasis, emphysema, mediastinal and subcutaneous emphysema, and granulomatous tissue formation were noted in these patients. Statistical models suggested that the time of foreign body impaction and the release of oil were risk factors for tracheal granulation, with the logistic model presenting an AUC of 0.948, precision of 0.676, and sensitivity of 0.895, whereas the XGBoost model presented an AUC of 0.902, precision of 0.912, and sensitivity of 0.875. …”
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Bacteriological Contamination of Drinking Water Supply from Protected Water Sources to Point of Use and Water Handling Practices among Beneficiary Households of Boloso Sore Woreda,... by Matusala Gizachew, Amha Admasie, Chala Wegi, Etagegnehu Assefa

“…Descriptive and logistic regression statistical models were used. Sixty percent of shallow wells, 60% of protected hand-dug wells, and 25% of protected on-spot springs were found positive for faecal coliform. …”
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Optimization of the Formulation of Rice Biscuits Supplemented with D. Edulis (L.) Powder Using Response Surface Methodology by Eliane Flore Eyenga, Hippolyte Tene Mouafo, Mercy Bih Loh Achu, Wilfred F. Mbacham, Sali Atanga Ndindeng

“…The effect of substituting margarine and refined wheat flour with D. edulis powder locally called safou and rice flour, respectively, at different proportions was assessed for the sensory and physicochemical properties of the formulated biscuits. For this, statistical models were developed, validated, and optimized using the response surface methodology with the Doehlert design as a tool. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Objective: Functional magnetic resonance imaging data pose significant challenges due to their inherently noisy and complex nature, making traditional statistical models less effective in capturing predictive features. …”
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Low back pain trends attributable to high body mass index over the period 1990–2021 and projections up to 2036 by Jiling Zhang, Baodong Wang, Congying Zou, Tianyi Wang, Lihui Yang, Yu Zhou

“…A Bayesian age-period cohort (BAPC) model was used to assess the corresponding trends from 2022 to 2036. Additionally, statistical models, such as decomposition analysis and frontier analysis, were used.ResultsAccording to the GBD 2021, the number of DALYs caused by LBP attributed to high BMI reached 8,363,759 in 2021, which is an increase of 170.97% since 1990. …”
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Distance to Specialist Medical Care and Diagnosis of Obstructive Sleep Apnea in Rural Saskatchewan by Catherine M. Spagnuolo, Michael McIsaac, James Dosman, Chandima Karunanayake, Punam Pahwa, William Pickett

“…Follow-up occurred until 2015. 6525 adults from 3731 households constituted our sample. Statistical models used log-binomial regression. Rural adults who reported the largest travel distances (≥250 km) to specialist medical care were 1.17 (95% CI: 1.07, 1.29) times more likely to report OSA symptoms in the absence of a sleep apnea diagnosis than those who reported the smallest (<100 km; referent) distances. …”
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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud by Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao

“…It is difficult to characterize the time-varying characteristics of mmWave channels through statistical models, e.g. slope-intercept models for path loss and lognormal models for delay spread and angular spread. …”
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