Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
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Abstract (arXiv)
We are grateful to the discussants, Levis and Kennedy [2025], Luo and Geng [2025], Wang and van der Laan [2025], and Yang and Kim [2025], for their thoughtful comments on our paper (Nabi et al., 2025). In this rejoinder, we summarize our main contributions and respond to each discussion in turn.
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References · 19
- 2018Graphical Models for Processing Missing Datacited by 57
- 2021An Automated Approach to Causal Inference in Discrete Settingscited by 39
- 2020Full Law Identification In Graphical Models Of Missing Data: Completeness Resultscited by 26
- 2013Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden Variablescited by 23
- 2019Identification In Missing Data Models Represented By Directed Acyclic Graphscited by 19
- 2019Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approachcited by 16
- 2019Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Modelcited by 12
- 2016Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variablecited by 9
- 2023Ananke: A Python Package For Causal Inference Using Graphical Modelscited by 8
- 2023Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Searchcited by 8
- 2024Post-selection inference for causal effects after causal discoverycited by 7
- 2023Confidence Sets for Causal Orderingscited by 6
7 more
- 2023Causal Inference With Outcome-Dependent Missingness And Self-Censoringcited by 5
- 2022On Testability and Goodness of Fit Tests in Missing Data Modelscited by 4
- 2022A self-censoring model for multivariate nonignorable nonmonotone missing datacited by 4
- 2022Causal and Counterfactual Views of Missing Data Modelscited by 4
- 2023Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanismscited by 4
- 2023Statistical and Causal Robustness for Causal Null Hypothesis Testscited by 3
- 2021Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomescited by 2
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