Abstract:
The paper proposes a way to estimate risky behavior rates ratio in two groups. These groups can be either the same group but considered a priori and a posteriori a behavioral intervention, or two groups/two samples from different populations to be compared simultaneously. A similar estimation is proposed to cumulative risk ratio (odds ratio). The risky behavior rate can be estimated either with data about several last episodes of the behavior or with the data on extreme intervals between the episodes during a certain period of time. For these two estimations may be different; a measure of their consistency is introduced.
Keywords:soft computations, lack of information, threatening behavior, modern epidemiology.