pharmacoSmoking-KM.ipynb

pharmacosmoking-km.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "pharmacoSmoking-KM.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNw8AQOXBeHHuYoRoepAYaf",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/77ea8c03bb7556137e00563e7cc3dc74/pharmacosmoking-km.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G63j-dqCmLni"
      },
      "source": [
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cMWcJowJT1LG"
      },
      "source": [
        "!pip install -q lifelines"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "upDCnWXylyXg"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "plt.style.use(\"bmh\")\n",
        "plt.rcParams.update({'xtick.labelsize' : 12,\n",
        "                     'ytick.labelsize' : 12})"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QlW4--_3T5c_"
      },
      "source": [
        "import statsmodels.api as sm"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dEdrJc8sT8S-"
      },
      "source": [
        "pharmacoSmoking = sm.datasets.get_rdataset(\"pharmacoSmoking\", \"asaur\")"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P8jEBKpjT-Pe"
      },
      "source": [
        "df = pharmacoSmoking.data"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "t2AFRxNIUA-N",
        "outputId": "f182246d-0b3b-42d6-da84-3ada2e3904d2"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>ttr</th>\n",
              "      <th>relapse</th>\n",
              "      <th>grp</th>\n",
              "      <th>age</th>\n",
              "      <th>gender</th>\n",
              "      <th>race</th>\n",
              "      <th>employment</th>\n",
              "      <th>yearsSmoking</th>\n",
              "      <th>levelSmoking</th>\n",
              "      <th>ageGroup2</th>\n",
              "      <th>ageGroup4</th>\n",
              "      <th>priorAttempts</th>\n",
              "      <th>longestNoSmoke</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>21</td>\n",
              "      <td>182</td>\n",
              "      <td>0</td>\n",
              "      <td>patchOnly</td>\n",
              "      <td>36</td>\n",
              "      <td>Male</td>\n",
              "      <td>white</td>\n",
              "      <td>ft</td>\n",
              "      <td>26</td>\n",
              "      <td>heavy</td>\n",
              "      <td>21-49</td>\n",
              "      <td>35-49</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>113</td>\n",
              "      <td>14</td>\n",
              "      <td>1</td>\n",
              "      <td>patchOnly</td>\n",
              "      <td>41</td>\n",
              "      <td>Male</td>\n",
              "      <td>white</td>\n",
              "      <td>other</td>\n",
              "      <td>27</td>\n",
              "      <td>heavy</td>\n",
              "      <td>21-49</td>\n",
              "      <td>35-49</td>\n",
              "      <td>3</td>\n",
              "      <td>90</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>39</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>combination</td>\n",
              "      <td>25</td>\n",
              "      <td>Female</td>\n",
              "      <td>white</td>\n",
              "      <td>other</td>\n",
              "      <td>12</td>\n",
              "      <td>heavy</td>\n",
              "      <td>21-49</td>\n",
              "      <td>21-34</td>\n",
              "      <td>3</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>80</td>\n",
              "      <td>16</td>\n",
              "      <td>1</td>\n",
              "      <td>combination</td>\n",
              "      <td>54</td>\n",
              "      <td>Male</td>\n",
              "      <td>white</td>\n",
              "      <td>ft</td>\n",
              "      <td>39</td>\n",
              "      <td>heavy</td>\n",
              "      <td>50+</td>\n",
              "      <td>50-64</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>87</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>combination</td>\n",
              "      <td>45</td>\n",
              "      <td>Male</td>\n",
              "      <td>white</td>\n",
              "      <td>other</td>\n",
              "      <td>30</td>\n",
              "      <td>heavy</td>\n",
              "      <td>21-49</td>\n",
              "      <td>35-49</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    id  ttr  relapse  ... ageGroup4  priorAttempts longestNoSmoke\n",
              "0   21  182        0  ...     35-49              0              0\n",
              "1  113   14        1  ...     35-49              3             90\n",
              "2   39    5        1  ...     21-34              3             21\n",
              "3   80   16        1  ...     50-64              0              0\n",
              "4   87    0        1  ...     35-49              0              0\n",
              "\n",
              "[5 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T6Z5tDwbUjmZ"
      },
      "source": [
        "from lifelines import KaplanMeierFitter"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 721
        },
        "id": "g0zwogQOUMw3",
        "outputId": "a7d37294-2d72-4dd9-eeb9-715a00ddd1dc"
      },
      "source": [
        "ix = (df[\"grp\"] == \"patchOnly\")\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10,8))\n",
        "\n",
        "kmf_control = KaplanMeierFitter()\n",
        "ax = kmf_control.fit(df.loc[ix][\"ttr\"], df.loc[ix]['relapse'], label='sólo parche').plot_survival_function(ax=ax, show_censors=True, censor_styles={'ms': 6, 'marker': 's'})\n",
        "\n",
        "kmf_exp = KaplanMeierFitter()\n",
        "ax = kmf_exp.fit(df.loc[~ix][\"ttr\"], df.loc[~ix]['relapse'], label='terapia triple').plot_survival_function(ax=ax, show_censors=True, censor_styles={'ms': 6, 'marker': 's'})\n",
        "\n",
        "ax.set_xticks([30*i for i in range(3)]+[91,121,151,182])\n",
        "\n",
        "ax.set_title(\"pharmacoSmoking: Ensayo aleatorizado de terapia triple versus parche\\n para dejar de fumar\", fontsize=15)\n",
        "ax.set_xlabel(\"Tiempo para recaída (en días)\",fontsize=15)\n",
        "ax.set_ylabel(\"Probabilidad estimada de no recaída\", fontsize=15)\n",
        "ax.set_ylim(0,)\n",
        "ax.legend(fontsize=15)\n",
        "\n",
        "from lifelines.plotting import add_at_risk_counts\n",
        "\n",
        "add_at_risk_counts(kmf_exp, kmf_control, ax=ax, fontsize=15)\n",
        "plt.savefig(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-pharmacoSmoking.svg\", bbox_inches='tight', format='svg')"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "omdF-LynUdEI",
        "outputId": "58da7a2e-d81e-4967-ac03-3c3416d50df1"
      },
      "source": [
        "from google.colab import files\n",
        "files.download(f\"{pd.to_datetime('today').strftime('%Y-%m-%d')}-pharmacoSmoking.svg\")"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_b195db7a-1479-471e-9c0e-0e961dac9c2f\", \"2021-07-24-pharmacoSmoking.svg\", 76338)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}