Abstract:
:The mixture cure model is a special type of survival models and it assumes that the studied population is a mixture of susceptible individuals who may experience the event of interest, and cure/non-susceptible individuals who will never experience the event. For such data, standard survival models are usually not appropriate because they do not account for the possibility of cure. This paper presents an R package smcure to fit the semiparametric proportional hazards mixture cure model and the accelerated failure time mixture cure model.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Cai C,Zou Y,Peng Y,Zhang Jdoi
10.1016/j.cmpb.2012.08.013subject
Has Abstractpub_date
2012-12-01 00:00:00pages
1255-60issue
3eissn
0169-2607issn
1872-7565pii
S0169-2607(12)00195-2journal_volume
108pub_type
杂志文章abstract::A physician's problem-solving performance improves with experience. The performance of most medical expert systems does not. The author has developed a diagnosis program for coronary disease that improves its performance by remembering and learning from cases that it has already solved. The program diagnoses commonly-...
journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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