Causal_Inference_with_Structural_Equation_Modeling_(SEM).ipynb

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      "source": [
        "import pandas as pd\n",
        "from statsmodels.formula.api import ols\n",
        "\n",
        "# Create a mock dataset\n",
        "data = pd.DataFrame({\n",
        "    'outcome': [1, 2, 3, 4, 5, 6],\n",
        "    'cause': [0, 1, 0, 1, 0, 1],\n",
        "    'confounder': [2, 2, 3, 3, 4, 4]\n",
        "})\n",
        "\n",
        "# SEM for causal inference\n",
        "model = ols('outcome ~ cause + confounder', data=data).fit()\n",
        "causal_effect = model.params['cause']\n",
        "print(f\"Causal effect estimate: {causal_effect}\")"
      ]
    }
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