Accuracy of Contemporary Intraocular Lens Calculation Formulas Based on Swept-Source OCT Biometry in Eyes with Capsular Tension Ring. [PDF]
Devebacak A, Yılmaz M, Arıkan G.
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Poisson regresyon tahmin yöntemlerinin karşılaştırılması
The aim of many scientific studies is to explain relationships between response variable and explanatory variables with mathematical models and to acquire prudential predictions with these models. Poisson regression models are commonly usedfor analyzing the data based on counting processes.
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Author Correction: Binary vector copy number engineering improves Agrobacterium-mediated transformation. [PDF]
Szarzanowicz MJ +17 more
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En Küçük Kareler Tahmin Edicisi ile Bir Shrinkage Tahmin Edicisinin Etkinlik Karşılaştırması
In regression analysis, if there are some kind of relation (multicollinearity) between independent variables, the Least Squares estimation method may lead to the use of wrong models and hence to wrong findings out of the model. Various methods have been devised in order to carry out regression analysis with such independent variables which exhibit ...
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Prediction of oocyte maturity before denudation: Is the assessment of COC morphology a reliable option? [PDF]
Peker N +7 more
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Evaluating the Predictive Accuracy of the Kane and SRK/T Formulas in Keratoconus Patients Undergoing Cataract Surgery. [PDF]
Akbaş YB +5 more
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Red cell distribution width and modified 5-item frailty index to predict short-term mortality in patients undergoing surgery for hip fracture. [PDF]
Değirmenci S +4 more
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Adherence to inhalers and associated factors among adult asthma patients: an outpatient-based study in a tertiary hospital of Rajshahi, Bangladesh. [PDF]
Rafi MA +16 more
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Establishment of a Multimodal Prognostic Prediction Model for Multiple Myeloma Patients Based on Radiomics and Clinical Features: A Retrospective Cohort Study [PDF]
Sun S +5 more
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Regresyon analizinde yanlı tahmin yöntemleri
Ridge Regression method, which is one of the estimation methods used to estimate the model parameters, is discussed in case of multiple connections between independent variables. This methods can be used when the results obtained by OLS methods lose their validity due to multiple connections, that is, it is not possible to estimate the errors, signs ...
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