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Building a nomogram for survey-weighted cox models using R
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نویسنده
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capanu m. ,gönen m.
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منبع
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journal of statistical software - 2015 - دوره : 64 - - کد همایش: - صفحه:2 -17
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چکیده
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Nomograms have become very useful tools among clinicians as they provide individualized predictions based on the characteristics of the patient. for complex design survey data with survival outcome,binder (1992) proposed methods for fitting survey-weighted cox models,but to the best of our knowledge there is no available software to build a nomogram based on such models. this paper introduces an r package,svynom,to accomplish this goal and illustrates its use on a gastric cancer dataset. validation and calibration routines are also included. © 2015,american statistical association. all rights reserved.
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کلیدواژه
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Cox regression; Nomogram; Sampling design; Weights
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آدرس
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department of epidemiology and biostatistics,memorial sloan-kettering cancer center,e 307,63rd st,3rd flny 10021, United States, department of epidemiology and biostatistics,memorial sloan-kettering cancer center,e 307,63rd st,3rd flny 10021, United States
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Authors
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