Literature DB >> 29099991

Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny Häggström.

Edward H Kennedy1, Sivaraman Balakrishnan1.   

Abstract

Keywords:  Causal inference; Doubly robust; Partial identification; Sensitivity analysis; Unmeasured confounding

Mesh：

Year:  2017        PMID： 29099991     DOI： 10.1111/biom.12787

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


× No keyword cloud information.
  4 in total

1.  A doubly robust method to handle missing multilevel outcome data with application to the China Health and Nutrition Survey.

Authors:  Nicole M Butera; Donglin Zeng; Annie Green Howard; Penny Gordon-Larsen; Jianwen Cai
Journal:  Stat Med       Date:  2021-11-16       Impact factor: 2.373

Review 2.  Stacked generalization: an introduction to super learning.

Authors:  Ashley I Naimi; Laura B Balzer
Journal:  Eur J Epidemiol       Date:  2018-04-10       Impact factor: 8.082

3.  Machine Learning for Causal Inference: On the Use of Cross-fit Estimators.

Authors:  Paul N Zivich; Alexander Breskin
Journal:  Epidemiology       Date:  2021-05-01       Impact factor: 4.860

Review 4.  Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects.

Authors:  Sebastian Schneeweiss
Journal:  Clin Epidemiol       Date:  2018-07-06       Impact factor: 4.790
  4 in total

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