pycausalgps
===========

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*Causal Inference with Generalized Propensity Score*

pycausalgps is a Python library for implementing matching on generalized propensity scores (GPS) with continuous exposures. We have developed an innovative approach for estimating causal effects using observational data in settings with continuous exposures and introduced a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.

.. toctree::
   :glob:
   :maxdepth: 2
   :caption: Introduction

   about

.. toctree::
   :glob:
   :maxdepth: 2
   :caption: Researchers

   setup_env
   quickstart
   faq


.. toctree::
   :glob:
   :maxdepth: 2
   :caption: Developers

   setup_env_dev
   documentation
   git_branching
   modules

.. toctree::
   :glob:
   :maxdepth: 2
   :caption: Community
   
   contact
   CHANGELOG


Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`