نتایج جستجو برای: cox proportional hazards model
تعداد نتایج: 2194121 فیلتر نتایج به سال:
Abstract Survival (overall, event free, etc.) is the most-used outcome in clinical oncology studies. This study analyzed methodological reporting of survival analysis pediatric leukemia studies, focusing on Cox proportional hazards (PH). We performed a systematic review studies published between 2012 and 2021 five highest-ranking hematology journals. The included had to focus utilize analyses. ...
Federal law prohibits discrimination in employment decisions against persons in certain protected categories. The common method for measuring discrimination involves a comparison of some aggregate statistic for protected and non-protected individuals. This approach is open to question when employment decisions are made over an extended time period. We show how to use hierarchical proportional h...
BACKGROUND A simple risk score to predict long-term mortality after percutaneous coronary intervention (PCI) using preprocedural risk factors is currently not available. In this study, we created one by simplifying the results of a Cox proportional hazards model. METHODS AND RESULTS A total of 11,897 patients who underwent PCI from October through December 2003 in New York State were randomly...
Abstract Background : The aim of this study is to determine of risk factors in patients with brain metastases, and prognostic factors affecting survival of patients by using the Cox proportional hazards model. Methods : This descriptive - analytic retrospective study was performed on 197 patients with brain metastases who Referred to Shahid Ramezanzadeh Radiation Center, Yazd, Iran. Several ris...
A unified estimation procedure is proposed for the analysis of censored data using linear transformation models, which include the proportional hazards model and the proportional odds model as special cases. This procedure is easily implemented numerically and its validity does not rely on the assumption of independence between the covariates and the censoring variable. The estimator is the sam...
For survival data regression, the Cox proportional hazards model is the most popular model, but in certain situations the Cox model is inappropriate. Various authors have proposed the proportional odds model as an alternative. Yang and Prentice recently presented a number of easily implemented estimators for the proportional odds model. Here we show how to extend the methods of Yang and Prentic...
Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in ...
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