anchor.diff:  								<caption>IMPC data aggregation fields.</caption>
                              	</table>
   
  -                            
  +
   							<p>IMPC phenotyping centers operate using different work flows which contribute to the batch effect.</p>
  -                            
  +
                               <table>
                               <thead>
                               	<tr>
  
positive.code:                             </tbody>
                              <caption>Example work flows at IMPC centers.</caption>
                              </table>
                              
                              
                              
                              <p>For each data set, the appropriate work flow is determined and the statistical calculation is performed.
                              For continuous data, Mixed model is the IMPC preferred method of analysis, however, this method requires that the following assumptions are met:
                              </p>
  
                              <ul>
                              <li>1. The data is normally distributed</li> 
                              <li>2. The data has some variation</li>
                              <li>3. There must be more than four data points per sex per genotype</li>
                              </ul>
                              
                              <p>The graph pages display plots according to the data type of the parameter.  Categorical data parameters display a stacked bar chart 
                              whereas continuous data displays a box plot and a scatter plot of the data point values.
                              See the <a href="${baseUrl}/documentation/graph-help">graph documentation</a> for more details.
                              </p> 
  
  
                              <h4>Fisher's exact output</h4>
                              <img src="img/stats-fe-table.png">
                              <p>A table displaying more information about the data used to determine the P value and effect size is displayed below the graph.</p>
                              
                              <h4>Mixed model (PhenStat) output</h4>
                              <img src="img/stats-mm-table.png">
                              <p>The <strong>more statistics</strong> link at the bottom of the table will list the statistical method as "MM framework,
  
negative.code:                             If PhenStat assumptions about the input data are not met, a second attempt at analyzing the data
                              will be attempted &mdash; a Mann-Whitney U Rank Sum test.
                              </p>
  
                              <h4>Control selection strategy</h4>
  
                              <p>One side effect of producing data in a high throughput pipeline is that the input data for a statistical calculation might be produced over multiple days.
                              Environmental fluctuations have been identified as a confounding factor when comparing
                              data gathered on different days.  The IMPC describes this as a "batch effect" and it is treated as a random effect in the Mixed model framework.
                              </p>
  
                              <p>The data sets to be analysed are identified using unique combinations of these fields:
  
                              <table>
                              	<thead>
                              		<tr>
  