All statistical analyses are performed on pipeline data collapsed to one row per gene target-indication pair, as this is the unit on which genetic evidence is measured. The latest phase of a gene target-indication pair (g, i) is the most advanced pipeline phase attained by any drug with target g for indication i. Of several results of [3], we are most interested in the claim that target-indication pairs supported by genetic evidence are more likely to advance than those without. In the first part of the analysis, we quantify this association as a risk ratio, attempting to replicate the original Nelson et al analysis as closely as possible. Second, we introduce a logistic regression model for the relationship between approval and genetic evidence, adjusting for covariates at the target and indication levels.
