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Welcome to Causal Inference: What If!
=======================================

编译和解读 by Heyang Gong


该书对因果推理的概念和方法进行了全面的介绍。目前，这些材料大部分散布在多个学科的期刊中，或者仅限于技术文章。我们希望对因果推理感兴趣的人，例如流行病学家，统计学家，心理学家，经济学家，社会学家，政治学家，计算机科学家，都会对这本书感兴趣。这本书分为三个难度越来越大的部分：无模型的因果推理，有模型的因果推理，以及复杂纵向数据的因果推理。

* 项目地址：https://github.com/CausalAI/what-if
* Blog ：https://causalai.github.io/what-if
* 原书: https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/


.. toctree::
   :maxdepth: 1
   :caption: Big Picuture:
   
   Intro
   01-Part(I)仰望天空
   02-Part(II)有模型因果推断
   03-Part(III)g-estimation_methods
 
.. toctree::
   :maxdepth: 1
   :caption: Part I 无模型因果推断
   
   chapter1_gong
   chapter2_gong
   chapter3_gong
   chapter4_gong
   chapter5_gong
   chapter6_gong
   chapter7-10_gong

.. toctree::
   :maxdepth: 1
   :caption: Part II 有模型因果推断

   chapter11-Why_models
   chapter12-IPW
   chapter13-Standardization_g-formula
   chapter14-G估计_of_SNMs
   chapter15-Outcome_regression_PS
   chapter16-工具变量法
   chapter17-因果生存分析
   chapter18-variable_selection

.. toctree::
   :maxdepth: 2
   :caption: Part III 复杂纵向数据因果推断

   ch19-time_varying
   ch20-treatment_confounder_feedback
   ch21-g_estimation
   ch22-target_trail_emulation



Indices and tables
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* :ref:`search`