A flexible, computationally efficient method for fitting the proportional hazards model to interval‐censored data

Publisher： John Wiley & Sons Inc

E-ISSN： 1541-0420|72|1|222-231

ISSN： 0006-341x

Source： BIOMETRICS, Vol.72, Iss.1, 2016-03, pp. : 222-231

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

A flexible AFT model for misclassified clustered interval‐censored data

By  

BIOMETRICS, Vol. 72, Iss. 2, 2016-06 ,pp. : 473-483

John Wiley & Sons Inc

Access to resources Recommend Favorite

Semiparametric estimation of the accelerated failure time model with partly interval‐censored data

By  

BIOMETRICS, Vol. 73, Iss. 4, 2017-12 ,pp. : 1161-1168

John Wiley & Sons Inc

Access to resources Recommend Favorite

Testing goodness-of-fit for the proportional hazards model based on nested case–control data

By Lu Wenbin   Liu Mengling   Chen Yi-Hau  

Biometrics, Vol. 70, Iss. 4, 2014-12 ,pp. : 845-851

Wiley-Blackwell

Access to resources Recommend Favorite

Robust nonparametric estimation of monotone regression functions with interval‐censored observations

By  

BIOMETRICS, Vol. 72, Iss. 3, 2016-09 ,pp. : 720-730

John Wiley & Sons Inc

Access to resources Recommend Favorite

Penalized regression for interval-censored times of disease progression: Selection of HLA markers in psoriatic arthritis

By Wu Ying   Cook Richard J.  

Biometrics, Vol. 71, Iss. 3, 2015-09 ,pp. : 782-791

Wiley-Blackwell

Access to resources Recommend Favorite