{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# GLM: Negative Binomial Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/osvaldo/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on PyMC3 v3.3\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc3 as pm\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-darkgrid')\n",
    "import seaborn as sns\n",
    "import re\n",
    "print('Running on PyMC3 v{}'.format(pm.__version__))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demos negative binomial regression using the `glm` submodule. It closely follows the GLM Poisson regression example by [Jonathan Sedar](https://github.com/jonsedar) (which is in turn inspired by [a project by Ian Osvald](http://ianozsvald.com/2016/05/07/statistically-solving-sneezes-and-sniffles-a-work-in-progress-report-at-pydatalondon-2016/)) except the data here is negative binomially distributed instead of Poisson distributed.\n",
    "\n",
    "Negative binomial regression is used to model count data for which the variance is higher than the mean. The [negative binomial distribution](https://en.wikipedia.org/wiki/Negative_binomial_distribution) can be thought of as a Poisson distribution whose rate parameter is gamma distributed, so that rate parameter can be adjusted to account for the increased variance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convenience Functions\n",
    "\n",
    "Taken from the Poisson regression example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_traces(trcs, varnames=None):\n",
    "    '''Plot traces with overlaid means and values'''\n",
    "\n",
    "    nrows = len(trcs.varnames)\n",
    "    if varnames is not None:\n",
    "        nrows = len(varnames)\n",
    "\n",
    "    ax = pm.traceplot(trcs, varnames=varnames, figsize=(12,nrows*1.4),\n",
    "                      lines={k: v['mean'] for k, v in\n",
    "                             pm.df_summary(trcs,varnames=varnames).iterrows()})\n",
    "\n",
    "    for i, mn in enumerate(pm.df_summary(trcs, varnames=varnames)['mean']):\n",
    "        ax[i,0].annotate('{:.2f}'.format(mn), xy=(mn,0), xycoords='data',\n",
    "                         xytext=(5,10), textcoords='offset points', rotation=90,\n",
    "                         va='bottom', fontsize='large', color='#AA0022')\n",
    "        \n",
    "def strip_derived_rvs(rvs):\n",
    "    '''Remove PyMC3-generated RVs from a list'''\n",
    "\n",
    "    ret_rvs = []\n",
    "    for rv in rvs:\n",
    "        if not (re.search('_log',rv.name) or re.search('_interval',rv.name)):\n",
    "            ret_rvs.append(rv)\n",
    "    return ret_rvs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate Data\n",
    "\n",
    "As in the Poisson regression example, we assume that sneezing occurs at some baseline rate, and that consuming alcohol, not taking antihistamines, or doing both, increase its frequency.\n",
    "\n",
    "#### Poisson Data\n",
    "\n",
    "First, let's look at some Poisson distributed data from the Poisson regression example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "np.random.seed(123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Mean Poisson values\n",
    "theta_noalcohol_meds = 1    # no alcohol, took an antihist\n",
    "theta_alcohol_meds = 3      # alcohol, took an antihist\n",
    "theta_noalcohol_nomeds = 6  # no alcohol, no antihist\n",
    "theta_alcohol_nomeds = 36   # alcohol, no antihist\n",
    "\n",
    "# Create samples\n",
    "q = 1000\n",
    "df_pois = pd.DataFrame({\n",
    "        'nsneeze': np.concatenate((np.random.poisson(theta_noalcohol_meds, q),\n",
    "                                   np.random.poisson(theta_alcohol_meds, q),\n",
    "                                   np.random.poisson(theta_noalcohol_nomeds, q), \n",
    "                                   np.random.poisson(theta_alcohol_nomeds, q))),\n",
    "        'alcohol': np.concatenate((np.repeat(False, q),\n",
    "                                   np.repeat(True, q),\n",
    "                                   np.repeat(False, q),\n",
    "                                   np.repeat(True, q))),\n",
    "        'nomeds': np.concatenate((np.repeat(False, q),\n",
    "                                      np.repeat(False, q),\n",
    "                                      np.repeat(True, q),\n",
    "                                      np.repeat(True, q)))})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>var</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nomeds</th>\n",
       "      <th>alcohol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">False</th>\n",
       "      <th>False</th>\n",
       "      <td>0.989</td>\n",
       "      <td>1.019899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>2.973</td>\n",
       "      <td>2.985256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">True</th>\n",
       "      <th>False</th>\n",
       "      <td>5.948</td>\n",
       "      <td>5.907203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>36.163</td>\n",
       "      <td>39.493925</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  mean        var\n",
       "nomeds alcohol                   \n",
       "False  False     0.989   1.019899\n",
       "       True      2.973   2.985256\n",
       "True   False     5.948   5.907203\n",
       "       True     36.163  39.493925"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pois.groupby(['nomeds', 'alcohol'])['nsneeze'].agg(['mean', 'var'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the mean and variance of a Poisson distributed random variable are equal, the sample means and variances are very close.\n",
    "\n",
    "#### Negative Binomial Data\n",
    "\n",
    "Now, suppose every subject in the dataset had the flu, increasing the variance of their sneezing (and causing an unfortunate few to sneeze over 70 times a day). If the mean number of sneezes stays the same but variance increases, the data might follow a negative binomial distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Gamma shape parameter\n",
    "alpha = 10\n",
    "\n",
    "def get_nb_vals(mu, alpha, size):\n",
    "    \"\"\"Generate negative binomially distributed samples by\n",
    "    drawing a sample from a gamma distribution with mean `mu` and\n",
    "    shape parameter `alpha', then drawing from a Poisson\n",
    "    distribution whose rate parameter is given by the sampled\n",
    "    gamma variable.\n",
    "\n",
    "    \"\"\"\n",
    "\n",
    "    g = stats.gamma.rvs(alpha, scale=mu / alpha, size=size)\n",
    "    return stats.poisson.rvs(g)\n",
    "\n",
    "# Create samples\n",
    "n = 1000\n",
    "df = pd.DataFrame({\n",
    "        'nsneeze': np.concatenate((get_nb_vals(theta_noalcohol_meds, alpha, n),\n",
    "                                   get_nb_vals(theta_alcohol_meds, alpha, n),\n",
    "                                   get_nb_vals(theta_noalcohol_nomeds, alpha, n),\n",
    "                                   get_nb_vals(theta_alcohol_nomeds, alpha, n))),\n",
    "        'alcohol': np.concatenate((np.repeat(False, n),\n",
    "                                   np.repeat(True, n),\n",
    "                                   np.repeat(False, n),\n",
    "                                   np.repeat(True, n))),\n",
    "        'nomeds': np.concatenate((np.repeat(False, n),\n",
    "                                      np.repeat(False, n),\n",
    "                                      np.repeat(True, n),\n",
    "                                      np.repeat(True, n)))})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>var</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nomeds</th>\n",
       "      <th>alcohol</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">False</th>\n",
       "      <th>False</th>\n",
       "      <td>0.976</td>\n",
       "      <td>1.106531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>2.961</td>\n",
       "      <td>3.619098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">True</th>\n",
       "      <th>False</th>\n",
       "      <td>6.022</td>\n",
       "      <td>9.505021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>36.254</td>\n",
       "      <td>167.348833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  mean         var\n",
       "nomeds alcohol                    \n",
       "False  False     0.976    1.106531\n",
       "       True      2.961    3.619098\n",
       "True   False     6.022    9.505021\n",
       "       True     36.254  167.348833"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['nomeds', 'alcohol'])['nsneeze'].agg(['mean', 'var'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As in the Poisson regression example, we see that drinking alcohol and/or not taking antihistamines increase the sneezing rate to varying degrees. Unlike in that example, for each combination of `alcohol` and `nomeds`, the variance of `nsneeze` is higher than the mean. This suggests that a Poisson distrubution would be a poor fit for the data since the mean and variance of a Poisson distribution are equal."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2MAAAI4CAYAAADnDzGJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiSpBv8H5O+zTEwUxVQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe4ccfa0400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.factorplot(x='nsneeze', row='nomeds', col='alcohol', data=df, kind='count', aspect=1.5)\n",
    "\n",
    "# Make x-axis ticklabels less crowded\n",
    "ax = g.axes[1, 0]\n",
    "labels = range(len(ax.get_xticklabels(which='both')))\n",
    "ax.set_xticks(labels[::5])\n",
    "ax.set_xticklabels(labels[::5]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Negative Binomial Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create GLM Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using ADVI...\n",
      "Average Loss = 10,338:   7%|▋         | 13828/200000 [00:22<06:19, 490.54it/s]\n",
      "Convergence archived at 13900\n",
      "Interrupted at 13,900 [6%]: Average Loss = 14,046\n",
      "100%|██████████| 2500/2500 [11:04<00:00,  2.93it/s]\n"
     ]
    }
   ],
   "source": [
    "fml = 'nsneeze ~ alcohol + nomeds + alcohol:nomeds'\n",
    "\n",
    "with pm.Model() as model:\n",
    "    pm.glm.GLM.from_formula(formula=fml, data=df, family=pm.glm.families.NegativeBinomial())\n",
    "    \n",
    "    # Old initialization\n",
    "    # start = pm.find_MAP(fmin=optimize.fmin_powell)\n",
    "    # C = pm.approx_hessian(start)\n",
    "    # trace = pm.sample(4000, step=pm.NUTS(scaling=C))\n",
    "    \n",
    "    trace = pm.sample(2000, cores=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### View Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1gAAAJVCAYAAADDdlTCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsERERERERKbJ/wNcsQvdD0EXuwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe43c302a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rvs = [rv.name for rv in strip_derived_rvs(model.unobserved_RVs)]\n",
    "plot_traces(trace[1000:], varnames=rvs);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>hpd_2.5</th>\n",
       "      <th>hpd_97.5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Intercept</th>\n",
       "      <td>9.758611e-01</td>\n",
       "      <td>0.913428</td>\n",
       "      <td>1.032908e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alcohol[T.True]</th>\n",
       "      <td>3.034905e+00</td>\n",
       "      <td>2.820879</td>\n",
       "      <td>3.267148e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nomeds[T.True]</th>\n",
       "      <td>6.170180e+00</td>\n",
       "      <td>5.774109</td>\n",
       "      <td>6.613178e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alcohol[T.True]:nomeds[T.True]</th>\n",
       "      <td>1.984273e+00</td>\n",
       "      <td>1.833042</td>\n",
       "      <td>2.161982e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alpha</th>\n",
       "      <td>2.548632e+04</td>\n",
       "      <td>9936.840573</td>\n",
       "      <td>7.110099e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mu</th>\n",
       "      <td>2.925866e+21</td>\n",
       "      <td>1.004314</td>\n",
       "      <td>1.691800e+54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        mean      hpd_2.5      hpd_97.5\n",
       "Intercept                       9.758611e-01     0.913428  1.032908e+00\n",
       "alcohol[T.True]                 3.034905e+00     2.820879  3.267148e+00\n",
       "nomeds[T.True]                  6.170180e+00     5.774109  6.613178e+00\n",
       "alcohol[T.True]:nomeds[T.True]  1.984273e+00     1.833042  2.161982e+00\n",
       "alpha                           2.548632e+04  9936.840573  7.110099e+04\n",
       "mu                              2.925866e+21     1.004314  1.691800e+54"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transform coefficients to recover parameter values\n",
    "np.exp(pm.df_summary(trace[1000:], varnames=rvs)[['mean','hpd_2.5','hpd_97.5']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean values are close to the values we specified when generating the data:\n",
    "- The base rate is a constant 1.\n",
    "- Drinking alcohol triples the base rate.\n",
    "- Not taking antihistamines increases the base rate by 6 times.\n",
    "- Drinking alcohol and not taking antihistamines doubles the rate that would be expected if their rates were independent. If they were independent, then doing both would increase the base rate by 3\\*6=18 times, but instead the base rate is increased by 3\\*6\\*2=16 times.\n",
    "\n",
    "Finally, even though the sample for `mu` is highly skewed, its median value is close to the sample mean, and the mean of `alpha` is also quite close to its actual value of 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  4.25400876,  11.2521235 ,  27.12410786])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(trace[1000:]['mu'], [25,50,75])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.55325"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nsneeze.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.145896982642357"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trace[1000:]['alpha'].mean()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
