Epidemiologic studies of time to some failure often show a quadratic relati
on between the risk of failure and covariate(s). We study the nadir for a g
iven covariate, i.e., the value of the covariate associated with the lowest
risk (supposing a U-shape), within Aalen's additive risk model. This model
was applied since the effect of the covariate(s) is allowed to vary over t
ime and, as a consequence, a given nadir can vary over time. We propose a t
est for the null hypothesis that the nadir is time independent and, if this
is the case, an estimate of the nadir. Large sample properties of the test
statistic and estimator are derived. The methods are illustrated with data
where time to death is related to body mass index.