Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding

Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding

doctoral dissertation

Author/s

Wikidata

Work details

Publication date: 2018

Language: English

Copyright status

Copyright status information is not available for this work. The copyright status depends on the jurisdiction, the author's date of death and the date the work was created or published.

To learn more about copyright terms in different countries, visit the countries and terms page.

Access work

External link

Access online