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source-code-phd-dissertation

Code repository for Ph.D. dissertation "Safer Causal Inference: Theory & Algorithms for Falsification, Trial Augmentation and Policy Evaluation"

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Description

Collection of source code implementing methods and for reproducing experiments included in each chapter of the Ph.D. dissertation "Safer Causal Inference: Theory & Algorithms for Falsification, Trial Augmentation and Policy Evaluation". The source code also includes methods for generating simulated datasets used in the evaluation of the methods. The goal of the of the research was to develop methods to improve treatment effect estimation, this includes: methods to detect unmeasured confounding from observational data, methods to integrate historical data into randomized experiments to improve data efficiency, methods to evaluate treatment policies under treatment interference.

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Keywords
Programming languages
  • Other 93%
  • Python 4%
  • Jupyter Notebook 2%
  • R 1%
License
  • MIT
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data.4tu.nl

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