Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - 2019 - projecteuclid.org
Supplement to “Automated versus Do-It-Yourself Methods for Causal Inference: Lessons
Learned from a Data Analysis Competition”. The online supplement contains the full set of …
被引用次数：363 相关文章
[PDF] researchgate.net

[PDF][PDF] Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott… - arXiv preprint arXiv …, 2017 - researchgate.net
Statisticians have made great strides towards assumption-free estimation of causal
estimands in the past few decades. However this explosion in research has resulted in a …
[PDF] archive.org

[PDF][PDF] Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

V Dorie, J Hill, U Shalit, M Scott… - … Mark J. van der Laan 82 …, 2019 - scholar.archive.org
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However, this explosion in research has resulted in a breadth of …

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - arXiv preprint arXiv …, 2017 - arxiv.org
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However this explosion in research has resulted in a breadth of …

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition.

V Dorie, J Hill, U Shalit, M Scott, D Cervone - Grantee Submission, 2018 - ERIC
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However this explosion in research has resulted in a breadth of …

Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - Statistical science, 2019 - dialnet.unirioja.es
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However, this explosion in research has resulted in a breadth of …

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However this explosion in research has resulted in a breadth of …

Automated versus Do-It-Yourself Methods for Causal Inference

V Dorie, J Hill, U Shalit, M Scott, D Cervone - Statistical Science, 2019 - JSTOR
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However, this explosion in research has resulted in a breadth of …

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

V Dorie, J Hill, U Shalit, M Scott… - Statistical Science, 2019 - nyuscholars.nyu.edu
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However, this explosion in research has resulted in a breadth of …
[PDF] imstat.org

[PDF][PDF] Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition

V Dorie, J Hill, U Shalit, M Scott, D Cervone - … Gruber and Mark J. van der …, 2019 - imstat.org
Statisticians have made great progress in creating methods that reduce our reliance on
parametric assumptions. However, this explosion in research has resulted in a breadth of …