When a study shows an association between a treatment and a response, befor
e concluding that there is a causal relationship it is useful to assess whe
ther or not an unobserved variable, U,might explain the observed associatio
n. Sensitivity analysis clarifies the properties U must have in terms of it
s relationship to the response and its imbalance in the groups being compar
ed. A substantial literature has investigated the imbalance or association
between U and group assignment. This paper develops a dual sensitivity anal
ysis for matched pairs, focusing on the strength of the relationship betwee
n U and the response required to reduce an observed association to non-sign
ificance. A third simultaneous form of sensitivity analysis models both rel
ationships between U and treatment assignment and U and response. The simul
taneous form allows one to compare results from the sensitivity analysis to
subject matter knowledge about both relationships. The methods are illustr
ated by several examples.