Instrumental variables estimation of exposure effects on a time‐to‐event endpoint using structural cumulative survival models

Publisher： John Wiley & Sons Inc

E-ISSN： 1541-0420|73|4|1140-1149

ISSN： 0006-341x

Source： BIOMETRICS, Vol.73, Iss.4, 2017-12, pp. : 1140-1149

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

Abstract

Related content

Instrumental variable method for time‐to‐event data using a pseudo‐observation approach

By  

BIOMETRICS, Vol. 72, Iss. 2, 2016-06 ,pp. : 463-472

John Wiley & Sons Inc

Access to resources Recommend Favorite

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

By Blanche Paul   Proust-Lima Cécile   Loubère Lucie   Berr Claudine   Dartigues Jean-François   Jacqmin-Gadda Hélène  

Biometrics, Vol. 71, Iss. 1, 2015-03 ,pp. : 102-113

Wiley-Blackwell

Access to resources Recommend Favorite

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks

By  

BIOMETRICS, Vol. 71, Iss. 1, 2015-03 ,pp. : 102-113

John Wiley & Sons Inc

Access to resources Recommend Favorite

On Bayesian estimation of marginal structural models

By Saarela Olli   Stephens David A.   Moodie Erica E. M.   Klein Marina B.  

Biometrics, Vol. 71, Iss. 2, 2015-06 ,pp. : 279-288

Wiley-Blackwell

Access to resources Recommend Favorite

On Bayesian estimation of marginal structural models

By  

BIOMETRICS, Vol. 71, Iss. 2, 2015-06 ,pp. : 279-288

John Wiley & Sons Inc

Access to resources Recommend Favorite