Literature DB >> 21464653

Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs.

Maya L Petersen.   

Abstract

Mesh：

Year:  2011        PMID： 21464653     DOI： 10.1097/EDE.0b013e3182126127

Source DB:  PubMed          Journal:  Epidemiology        ISSN： 1044-3983            Impact factor:   4.822


× No keyword cloud information.
  14 in total

1.  Imputation approaches for potential outcomes in causal inference.

Authors:  Daniel Westreich; Jessie K Edwards; Stephen R Cole; Robert W Platt; Sunni L Mumford; Enrique F Schisterman
Journal:  Int J Epidemiol       Date:  2015-07-25       Impact factor: 7.196

2.  Motivating the additional use of external validity: examining transportability in a model of glioblastoma multiforme.

Authors:  Kyle W Singleton; William Speier; Alex A T Bui; William Hsu
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

3.  Target Validity and the Hierarchy of Study Designs.

Authors:  Daniel Westreich; Jessie K Edwards; Catherine R Lesko; Stephen R Cole; Elizabeth A Stuart
Journal:  Am J Epidemiol       Date:  2019-02-01       Impact factor: 4.897

4.  Extending the sufficient component cause model to describe the Stable Unit Treatment Value Assumption (SUTVA).

Authors:  Sharon Schwartz; Nicolle M Gatto; Ulka B Campbell
Journal:  Epidemiol Perspect Innov       Date:  2012-04-03

5.  Invited commentary: every good randomization deserves observation.

Authors:  Daniel Westreich; Jessie K Edwards
Journal:  Am J Epidemiol       Date:  2015-10-19       Impact factor: 4.897

6.  Invited Commentary: Causal Inference Across Space and Time-Quixotic Quest, Worthy Goal, or Both?

Authors:  Jessie K Edwards; Catherine R Lesko; Alexander P Keil
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

7.  Invited Commentary: Agent-Based Models-Bias in the Face of Discovery.

Authors:  Katherine M Keyes; Melissa Tracy; Stephen J Mooney; Aaron Shev; Magdalena Cerdá
Journal:  Am J Epidemiol       Date:  2017-07-15       Impact factor: 4.897

Review 8.  Causal models and learning from data: integrating causal modeling and statistical estimation.

Authors:  Maya L Petersen; Mark J van der Laan
Journal:  Epidemiology       Date:  2014-05       Impact factor: 4.822

9.  Causal Inference Under Multiple Versions of Treatment.

Authors:  Tyler J VanderWeele; Miguel A Hernán
Journal:  J Causal Inference       Date:  2013-05-01

Review 10.  Generalizing Study Results: A Potential Outcomes Perspective.

Authors:  Catherine R Lesko; Ashley L Buchanan; Daniel Westreich; Jessie K Edwards; Michael G Hudgens; Stephen R Cole
Journal:  Epidemiology       Date:  2017-07       Impact factor: 4.822
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.