Assignment: Paper selection

DAT465 Causality and causal inference
2021-10-07T13:49:11Z

Due: 18 Oct 2021 by 23:59

For the paper presentations in course week 8, you need to do the following:

Choose a research paper on causality & causal inference, alone or together with a partner.

You will present the main points of the paper in 10-15 minutes during the last week of the course.

Your goal is to communicate the main point of the paper using concepts we have developed in this course

Focus on communicating a) which problem is being solved, b) which solution was chosen, and c) whether the goal of the paper was met.

Papers will be presented in groups of 1 or 2 students

Submit this assignment with a text entry indicating your selected paper (if you work in a group, you should both submit this assignment—name who you will be working with)

Below are a list of example papers, but you are welcome to choose other papers as well.

Single World Intervention Graphs: A Primer, Richardson & Robins, 2013
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.644.1881&rep=rep1&type=pdf

Sensitivity to Hidden Bias, Chapter 4 of Rosenbaum, Observational studies, 2002
https://link.springer.com/chapter/10.1007/978-1-4757-3692-2_4

Quantifying Causal Influences, Janzing et al., 2014
https://arxiv.org/pdf/1203.6502.pdf

Does obesity shorten life? The importance of well-defined interventions to answer causal questions, Hernán & Taubman, 2008
https://www.nature.com/articles/ijo200882

Identification of causal effects using instrumental variables, Angrist, Imbens & Rubin, 1996
https://www.tandfonline.com/doi/pdf/10.1080/01621459.1996.10476902

The central role of the propensity score in observational studies for causal effects, Rosenbaum & Rubin, 1983
https://academic.oup.com/biomet/article/70/1/41/240879

Optimal Matching for Observational Studies, Rosenbaum, 1989
https://amstat.tandfonline.com/doi/abs/10.1080/01621459.1989.10478868

The seven tools of causal inference, with reflections on machine learning, Pearl, 2019
https://dl.acm.org/doi/pdf/10.1145/3241036

Avoiding Discrimination through Causal Reasoning, Kilbertus et al., 2017
http://papers.nips.cc/paper/6668-avoiding-discrimination-through-causal-reasoning.pdf

Nonlinear causal discovery with additive noise models, Hoyer et al., 2009
https://papers.nips.cc/paper/3548-nonlinear-causal-discovery-with-additive-noise-models.pdf

Identifiability of path-specific effects, Avin, Shpitser & Pearl, 2005
https://escholarship.org/content/qt45x689gq/qt45x689gq.pdf

On Causal and Anticausal Learning, Schölkopf et al., 2012
https://icml.cc/2012/papers/625.pdf

Marginal Structural Models and Causal Inference in Epidemiology
https://www.jstor.org/stable/pdf/3703997.pdf

Instruments for causal inference: an epidemiologist's dream?, Hernán & Robins, 2006
https://www.jstor.org/stable/pdf/20486236.pdf

Optimal dynamic treatment regimes, Murphy, 2003
https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/1467-9868.00389

For the paper presentations in course week 8, you need to do the following:

Choose a research paper on causality & causal inference, alone or together with a partner.

You will present the main points of the paper in 10-15 minutes during the last week of the course.

Your goal is to communicate the main point of the paper using concepts we have developed in this course

Focus on communicating a) which problem is being solved, b) which solution was chosen, and c) whether the goal of the paper was met.

Papers will be presented in groups of 1 or 2 students

Submit this assignment with a text entry indicating your selected paper (if you work in a group, you should both submit this assignment—name who you will be working with)

Below are a list of example papers, but you are welcome to choose other papers as well.

Single World Intervention Graphs: A Primer, Richardson & Robins, 2013
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.644.1881&rep=rep1&type=pdf

Sensitivity to Hidden Bias, Chapter 4 of Rosenbaum, Observational studies, 2002
https://link.springer.com/chapter/10.1007/978-1-4757-3692-2_4

Quantifying Causal Influences, Janzing et al., 2014
https://arxiv.org/pdf/1203.6502.pdf

Does obesity shorten life? The importance of well-defined interventions to answer causal questions, Hernán & Taubman, 2008
https://www.nature.com/articles/ijo200882

Identification of causal effects using instrumental variables, Angrist, Imbens & Rubin, 1996
https://www.tandfonline.com/doi/pdf/10.1080/01621459.1996.10476902

The central role of the propensity score in observational studies for causal effects, Rosenbaum & Rubin, 1983
https://academic.oup.com/biomet/article/70/1/41/240879

Optimal Matching for Observational Studies, Rosenbaum, 1989
https://amstat.tandfonline.com/doi/abs/10.1080/01621459.1989.10478868

The seven tools of causal inference, with reflections on machine learning, Pearl, 2019
https://dl.acm.org/doi/pdf/10.1145/3241036

Avoiding Discrimination through Causal Reasoning, Kilbertus et al., 2017
http://papers.nips.cc/paper/6668-avoiding-discrimination-through-causal-reasoning.pdf

Nonlinear causal discovery with additive noise models, Hoyer et al., 2009
https://papers.nips.cc/paper/3548-nonlinear-causal-discovery-with-additive-noise-models.pdf

Identifiability of path-specific effects, Avin, Shpitser & Pearl, 2005
https://escholarship.org/content/qt45x689gq/qt45x689gq.pdf

On Causal and Anticausal Learning, Schölkopf et al., 2012
https://icml.cc/2012/papers/625.pdf

Marginal Structural Models and Causal Inference in Epidemiology
https://www.jstor.org/stable/pdf/3703997.pdf

Instruments for causal inference: an epidemiologist's dream?, Hernán & Robins, 2006
https://www.jstor.org/stable/pdf/20486236.pdf

Optimal dynamic treatment regimes, Murphy, 2003