Imperial College London

Ms Rachel Phillips

Faculty of MedicineSchool of Public Health

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 9356r.phillips

 
 
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Location

 

Stadium HouseWhite City Campus

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Summary

 

Stata Software

aevolcano - creates a volcano plot for adverse event data from a two-arm clinical trial, as proposed by Zink, Wolfinger, and Mann (2013). The volcano plot is a means of displaying the incidence of multiple adverse events simultaneously. The volcano plot can help to identify potential differences in the adverse event profile between treatment arms. 

Available for download at: aevolcano

To install from within Stata type: ssc install aevolcano


aedot - aedot creates a dot plot for adverse event data from a two-arm clinical trial, as proposed by Amit, Heiberger, and Lane (2008). The dot plot produces two graphs plotted adjacent to each other. The first plot on the left of the graph displays the incidence of each event by treatment arm giving a visual summary of absolute differences. The second plot on the right of the graph displays either the relative risk with corresponding 95% confidence interval or the risk difference with corresponding 95% confidence interval. 

Available for download at: aedot

To install from within Stata type: ssc install aedot


aefdr: aefdr performs a false discovery rate (FDR) p-value adjustment for adverse event data where events are nested within bodysystems from a two-arm clinical trial as proposed by Mehrotra and Adewale (Stat. in Med., 2012). The FDR procedure is a two-step approach that utilises the structure of adverse event data to adjust p-values to reduce the false discovery rate.

Available for download at: aefdr

To install from within Stata type: ssc install aefdr