Statistical notes for clinical researchers: simple linear regression 3 – residual analysis by Hae-Young Kim

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Unveiling Patient Satisfaction: Exploring Demographics, Interactions, and Health-Seeking Behavior by Vanessa Crowther, Cassandra Shaw-Johnson, Robbya Green-Weir, Pia Woodley, Marilyn Weatherspoon, Errick Farmer, Arlesia Mathis

“…We employed advanced data analysis, hierarchical regression, three-way ANOVA, linear regression, and logistic regression to examine four outcome variables. …”
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An Enhanced Generative Adversarial Network Prediction Model Based on LSTM and Attention for Corrosion Rate in Pipelines by Pujun Long, Mi Liang, Hongjian Chen, Qin Yang

“…In addition, to more accurately predict the corrosion rate of internal pipeline in complex environments, this paper utilizes Grey Wolf Optimization to optimize the hyper-parameters in Support Vector Regression. Three sets of experiments were conducted, including different data augmentation algorithms, various improvement strategies, and comparisons with other benchmark models. …”
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The association between maternal vitamin D deficiency and postpartum hemorrhage and uterine atony by Anna Sörsjö Stevenazzi, Sofia Pihl, Marie Blomberg, Daniel Axelsson

“…Crude and adjusted odds ratios were calculated with 95% confidence intervals using univariable and multivariable logistic regression. Three different adjustment methods were used, adjusting for maternal, obstetrical and neonatal confounders. …”
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Factors Associated with Migration in Individuals Affected by Leprosy, Maranhão, Brazil: An Exploratory Cross-Sectional Study by C. Murto, C. Kaplan, L. Ariza, K. Schwarz, C. H. Alencar, L. M. M. da Costa, J. Heukelbach

“…In multivariate logistic regression, three independent factors were found to be significantly associated with migration among those with leprosy: (1) alcohol consumption, (2) separation from family/friends, and (3) difficulty reaching the healthcare facility. …”
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Correlation between mineralogical, chemical and geotechnical properties of lateritic soils of Ngaoundal: implication for road construction by Abdoul Aboubakar, Bertille Ilalie Manefouet Kentsa, Fils Thomas Roger Tchatchoua, Mounsi Frederic, Alifa Guedala, François Ngapgue, Quentin Marc Anaba Fotze, Thomas Tatietse Tamo

“…The maximum dry density shows a good correlation with goethite (r = 0.71). For the simple regression, three relationships with good correlation coefficients were obtained. …”
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Oral phenotype and scoring of vascular Ehlers–Danlos syndrome: a case–control study by Lisa Golmard, Ariane Berdal, François Côme Ferré, Michael Frank, Bruno Gogly, Adrien Naveau, Hafida Chérifi, Joseph Emmerich, Frédérick Gaultier, Xavier Jeunemaitre, Benjamin P J Fournier

“…Conversely, patients showed marked gingival fragility, temporomandibular disorders, dentin formation defects, molar root fusion and increased root length. After logistic regression, three variables remained significantly associated to vEDS. …”
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Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest by Qiang Wu, Qiang Wu, Fang Zhang, Yuchang Fei, Zhenfen Sima, Shanshan Gong, Qifeng Tong, Qingchuan Jiao, Hao Wu, Jianqiu Gong, Jianqiu Gong

“…After screening predictive variables by LASSO regression, three predictive models selected using the LazyPredict package, namely logistic regression (LR), support vector machine (SVM) and random forest (RF), were established respectively. …”
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Deep learning and pathomics analyses predict prognosis of high-grade gliomas by Yuchen Zhu, Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Xingjian Sun, Gefei Jiang, Gefei Jiang, Lei Qiu, Lei Qiu, Kexin Shi, Kexin Shi, Mengxing Wu, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou

“…Pathological features were extracted using Pearson correlation, univariate Cox regression, and LASSO-Cox regression. Three models were developed: a Pathomics-based model, a clinical model, and a combined model integrating both.ResultsPathological and Clinical Features were used to build two models, leading to a predictive model with a C-index of 0.847 (train) and 0.739 (test). …”
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COMPARATIVE ANALYSIS OF QUALITY OF LIFE AFTER THORACIC ENDOVASCULAR AORTIC REPAIR AND OPTIMAL MEDICAL THERAPY IN PATIENTS WITH UNCOMPLICATED TYPE B AORTIC DISSECTION by Anna Yu. Shkandala, Oleh V. Zelenchuk, Serhii M. Furkalo, Borys M. Todurov, Andrii V. Khokhlov, Nataliia O. Yashchenko, Serhii M. Sudakevych

“…On the basis of multivariate regression, three independent factors influencing the physical component were established – the presence in the anamnesis of patients with arterial hypertension of the 3rd degree (p=0.021), chronic renal failure (p=0.039) and low adherence to medication (p=0.033) and two independent factors influencing the mental component of quality of life – the presence of arterial hypertension of the 3rd degree in the patient's anamnesis (p=0.011) and the need for intervention on the aorta during the observation period (p=0.021). …”
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Latent profile analysis of fear of progression in Chinese hematologic malignancy survivors by Yating Liu, Qianqian Zhang, Jinying Zhao, Tiantian Zhang, Fei Tian, Zhixin Wang, Zhuli Shao, Xiaobin Li, Wenjun Xie, Fan Yang, Qiuyan Li, Junjie Li

“…The statistical method included latent profile analysis (LPA) and multivariate logistic regression. Three latent profiles of FoP were found: the low-risk fear group (20.88%), the moderate-risk fear group (54.73%), and the high-risk fear group (24.49%). …”
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Probabilistic prediction of Load–Displacement curves of corroded strands by Seungjun Lee, Jaebeom Lee, Chi-Ho Jeon, Young-Joo Lee

“…The proposed method follows a four-step process: (1) Developing sophisticated finite element models that accurately represent various types of corrosion; (2) Constructing a multi-surrogate model using Gaussian process regression; (3) Predicting load–displacement curves based on a theoretical model; and (4) Implementing a probabilistic analysis using Monte Carlo simulation and kernel density estimation. …”
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Bilateral Coats’ Disease Combined with Retinopathy of Prematurity by Huseyin Gursoy, Nazmiye Erol, Mustafa Deger Bilgec, Hikmet Basmak, Ozden Kutlay, Huseyin Aslan

“…Retinal findings regressed three months following the cryotherapy. Conclusion. …”
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Attention-Based LiDAR–Camera Fusion for 3D Object Detection in Autonomous Driving by Zhibo Wang, Xiaoci Huang, Zhihao Hu

“…A center point detection architecture is further employed to regress 3D bounding boxes in bird’s-eye-view space, effectively resolving orientation ambiguities caused by sparse point distributions. …”
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Forecasting of Stock Returns based on the Approach of Bayesian Models Averaging; Quantum Finance and Continuous Wavelet Analysis by Fatemeh Sarraf, Zahra Nasiri, Mohammad Reza Tanhayi, Qudratullah Emam verdi, Ali Najafi aghdam

“…To predict and model stock returns in this research from 8 categories of estimation models 1- Classical or Structural, 2- Non-Structural regressions; 3- Time-varying Parameter Bayesian regressions, 4- Discrete Wavelet transform and Continuous Wavelet transform models, 5- Metaheuristic Approaches, 6- Simple and Deep Artificial Neural Networks approaches, 7- Stochastic differential, 8- Financial quantum were investigated.Based on the results in the short term of 1 day, Bayesian averaging models; In the medium term of 16 days, financial quantum models and in the long term of 32 days, continuous wave models had higher accuracy. …”
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Patterns of Infertility and Sociodemographic Characteristics Among Patients with Infertility Attending Benjamin Mkapa Hospital in Tanzania: Analytical Cross-Sectional Study by Anna Gideon Kasililika, Hindu Ibrahim Hussein, Henry Stephen Joseph, Secilia Kapalata Ng’weshemi, Alphonce Bilola Chandika

“…The analysis included descriptive statistics and logistic regression. (3) Results: The findings indicated that the dominant pattern of infertility for both male and female participants was secondary infertility, accounting for 59.00% (228). …”
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Clinical Predictors and Determinants of Mpox Complications in Hospitalized Patients: A Prospective Cohort Study from Burundi by Liliane Nkengurutse, John O. Otshudiema, Godefroid Kamwenubusa, Issa Diallo, Odette Nsavyimana, Jean Claude Mbonicura, Jean Claude Nkurunziza, Fidèle Cishahayo, Dieudonné Niyongere, Bonite Havyarimana, Déo Simbarariye, Marc Nimburanira, Bosco Ntiranyibagira, Senya Diane Nzeyimana, Brigitte Ndelema, Denise Nkezimana, Parfait Shingiro, Aimable Sibomana, Stany Nduwimana, Freddy Nyabenda, Alexis Niyomwungere, Mamadou Zongo, Abdoulaye Bousso, Samuel Boland, Jeanine Ndayisenga, Dionis Nizigiyimana, Joseph Nyandwi, Alimuddin Zumla, Rosamund F. Lewis, Stanislas Harakandi

“…Risk factors for disease complications were evaluated using multivariate Firth penalized logistic regression. (3) Results: Complications developed in 3.1% of 850 patients (54.4% male; median age, 20.3 years). …”
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Echo Graphic Evaluation of Retinoblastoma and its Management Modalities by Kushal S Delhiwala, Hansa H Thakkar

“…Out of 28 eyes receiving laser and/or chemotherapy, (10.7 %) eyes had full regression, 10(35.7 %) partial regressions, 3(10.7 %) became atrophic, 3(10.7 %) showed progression, 1(3.6%) had regrowth in enucleated eye. …”
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3-PARAMETER GAMMA REGRESSION MODEL FOR ANALYZING HUMAN DEVELOPMENT INDEX OF CENTRAL JAVA PROVINCE by Hasbi Yasin, Syarifah Inayati, Setiawan Setiawan

“…The data used tend to follow the 3-Parameter Gamma distribution, which implies the HDI is modeled with 3-Parameter Gamma regression. 3-Parameter Gamma Regression is a regression that explains the relationship among one or more predictor variables with response variables that follow the 3-Parameter Gamma distribution. …”
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Augmented Reality Navigation System (SIRIO) for Neuroprotection in Vertebral Tumoral Ablation by Eliodoro Faiella, Rebecca Casati, Matteo Pileri, Giuseppina Pacella, Carlo Altomare, Elva Vergantino, Amalia Bruno, Bruno Beomonte Zobel, Rosario Francesco Grasso

“…The statistical analyses included t-tests, Mann–Whitney U tests, and multiple regression. (3) Results: SIRIO-assisted procedures significantly reduced DLP (307.42 mGycm vs. 460.31 mGycm, <i>p</i> = 2.23 × 10⁻⁸) and procedural epidural dissection time (13.48 min vs. 32.26 min, <i>p</i> = 2.61 × 10⁻¹²) compared to non-SIRIO-assisted procedures. …”
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