نتایج جستجو برای: cox regression

تعداد نتایج: 346481  

Journal: :international journal of mining and geo-engineering 0
ali nouri qarahasanlou ph.d candidate of mine engineering in faculty of mining, petroleum & geophysics, shahrood university of technology, shahrood, iran mohammad ataei faculty member of mining engineering in faculty of mining, petroleum & geophysics, shahrood university of technology, shahrood, iran reza khalokakaie faculty member of mining engineering in faculty of mining, petroleum & geophysics, shahrood university of technology, shahrood, iran behzad ghodrati associate professor at luleå university of technology, lulea, sweden rasoul jafarei m.sc. of mining engineering of sahand university of technology, iran

tires represent a critical spare part in mines. there is a shortage of medium and large tires. in addition, with increased mining activities and the creation of new mines, the demand for tires has increased significantly. thus, it is particularly important for mining engineers to identify tire characteristics and correctly manage the spare part inventory. spare parts management is critical from...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

Abbas Bahrampour, Abolfazl Hosseinnataj Farzaneh Zolala, Fereshteh Mazidi Sharaf Abadi Mehdi Torabi, Mohammadreza Baneshi, Roya Nikbakht,

Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression model.  The present study aimed to explain problems of traditional regressions due to small sample size and m...

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