#!/usr/bin/env python
# coding: utf-8

# # Infantile Hemangioma Meta-analysis

# In[1]:


get_ipython().run_line_magic('matplotlib', 'inline')
import numpy as np
import pandas as pd
import pymc as pm
import seaborn as sb


# In[6]:


kq2_outcomes = pd.read_excel('IH_effectiveness_data_Extraction_comparative studies_revised_03242015.xlsx', sheetname='KQ2_outcome data')


# In[10]:


unique_outcomes = kq2_outcomes['Outcome [One outcome row for each each outcome per arm in study--DO NOT USE ABBREVIATIONS EXCEPT IH]'].unique()


# In[11]:


len(unique_outcomes)


# In[12]:


unique_outcomes


# In[15]:


interventions = kq2_outcomes['Arm [One ARM row for each group in study]'].unique()


# In[16]:


len(interventions)


# In[17]:


interventions