Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models

Author： Wang Chi   Dominici Francesca   Parmigiani Giovanni   Zigler Corwin Matthew  

Publisher： Wiley-Blackwell

E-ISSN： 1541-0420|71|3|654-665

ISSN： 0006-341X

Source： Biometrics, Vol.71, Iss.3, 2015-09, pp. : 654-665

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

Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models

By  

BIOMETRICS, Vol. 71, Iss. 3, 2015-09 ,pp. : 654-665

John Wiley & Sons Inc

Access to resources Recommend Favorite

Confounder selection via penalized credible regions

By Wilson Ander   Reich Brian J.  

Biometrics, Vol. 70, Iss. 4, 2014-12 ,pp. : 852-861

Wiley-Blackwell

Access to resources Recommend Favorite

Generalized linear and generalized additive models in studies of species distributions: setting the scene

By Guisan A.   Edwards T.C.   Hastie T.  

Ecological Modelling, Vol. 157, Iss. 2, 2002-11 ,pp. : 89-100

Elsevier

Access to resources Recommend Favorite

JULIAN J. FARAWAY. Extending the Linear Model with R: Generalized Linear, Mixed Effects, and Nonparametric Regression Models, 2nd edition. Boca Raton: CRC Press

By  

BIOMETRICS, Vol. 73, Iss. 4, 2017-12 ,pp. : 1465-1466

John Wiley & Sons Inc

Access to resources Recommend Favorite

Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts

By  

BIOMETRICS, Vol. 73, Iss. 4, 2017-12 ,pp. : 1132-1139

John Wiley & Sons Inc

Access to resources Recommend Favorite