Prediction of preterm birth in nulliparous women using logistic regression and machine learning von Belaghi, Reza Arabi, Beyene, Joseph, McDonald, Sarah D.

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Stein‐type shrinkage estimators in gamma regression model with application to prostate cancer data von Mandal, Saumen, Arabi Belaghi, Reza, Mahmoudi, Akram, Aminnejad, Minoo

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Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohort von Arabi Belaghi, Reza, Beyene, Joseph, McDonald, Sarah D.

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A comparison of preliminary test, Stein-type and penalty estimators in gamma regression model von Mahmoudi, Akram, Arabi Belaghi, Reza, Mandal, Saumen

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Identifying Potential miRNA Biomarkers for Gastric Cancer Diagnosis Using Machine Learning Variable Selection Approach von Gilani, Neda, Arabi Belaghi, Reza, Aftabi, Younes, Faramarzi, Elnaz, Edgünlü, Tuba, Somi, Mohammad Hossein

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Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches von Belaghi, Reza Arabi

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Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review von Yang, Ling, Ene, Ioana Cezara, Arabi Belaghi, Reza, Koff, David, Stein, Nina, Santaguida, Pasqualina (Lina)

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Classical and Bayesian inference for Burr type-III distribution based on progressive type-II hybrid censored data von Valizadeh Gamchi, Fatemeh, Gürünlü Alma, Özlem, Arabi Belaghi, Reza

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Improved shrinkage estimators in the beta regression model with application in econometric and educational data von Arabi Belaghi, Reza, Asar, Yasin, Larsson, Rolf

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Estimation in Weibull Distribution Under Progressively Type-I Hybrid Censored Data von Asar, Yasin, Belaghi, Reza Arabi

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Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial Intelligence von Hamidi, Farzaneh, Gilani, Neda, Belaghi, Reza Arabi, Sarbakhsh, Parvin, Edgunlu, Tuba, Santaguida, Pasqualina

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Digital dermatitis in Swedish dairy herds assessed by ELISA targeting Treponema phagedenis in bulk tank milk von Roelofs, Lex, Frössling, Jenny, Rosander, Anna, Bjerketorp, Joakim, Belaghi, Reza Arabi, Hansson, Ingrid, Frosth, Sara

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New and Efficient Estimators of Reliability Characteristics for a Family of Lifetime Distributions under Progressive Censoring von Ahmed, Syed Ejaz, Belaghi, Reza Arabi, Hussein, Abdulkadir, Safariyan, Alireza

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Estimation and prediction using classical and Bayesian approaches for Burr III model under progressive type-I hybrid censoring von Singh, Sukhdev, Arabi Belaghi, Reza, Noori Asl, Mehri

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Preliminary test estimators of the reliability characteristics for the three parameters Burr XII distribution based on records von Chaturvedi, Ajit, Belaghi, Reza Arabi, Malhotra, Ananya

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Estimation in the Complementary Exponential Geometric Distribution Based on Progressive Type-II Censored Data von Gürünlü Alma, Özlem, Arabi Belaghi, Reza

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Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta von Hamidi, Farzaneh, Gilani, Neda, Arabi Belaghi, Reza, Yaghoobi, Hanif, Babaei, Esmaeil, Sarbakhsh, Parvin, Malakouti, Jamileh

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Estimation in Weibull Distribution Under Progressively Typ e-I Hybrid Censored Data von Belaghi, Reza

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Classical and Bayesian inferential approaches using Lomax model under progressively type-I hybrid censoring von Asl, Mehri Noori, Belaghi, Reza Arabi, Bevrani, Hossien

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Ridge-type shrinkage estimators in generalized linear models with an application to prostate cancer data von Nooi Asl, M., Bevrani, H., Arabi Belaghi, R., Mansson, K.

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