Correlogram

---

Standard Visualization

Sample Code

create_correlogram(corr)

Description

How to read:

• Both the benefit and risk outcomes appear on the X-axis and Y-axis.

• The strength of correlation between outcome pair is displayed at their intersection.

• Each correlation is color coded according to the legend at the top, ranging from dark blue (-1.0) to dark red (+1.0).

• Each correlation along the diagonal is dark red because it’s the correlation of an outcome with itself (i.e. =1.0)

• The correlations above the diagonal are blank because they are the mirror image of the correlations below the diagonal.

• The underlying correlation coefficients are calculated using formulas specific to the type of data (e.g. binary ordinal, or continuous).

Key Conclusions:

• A positive correlation is expected between benefits and expected between risk. A negative correlation might appear between a benefit and risk. This would suggest that subject experiencing the benefit also experience the risk.

• As expected, there is a high correlation between the primary and secondary efficacy outcomes. The team might decide to drop the secondary efficacy outcome if there is a concern with double counting.

• There is also an explainable negative correlation between outcomes for quality-of-life and recurring AE. The medium positive correlation between recurring AE and primary efficacy is difficult to explain.