In an IntEstim strategy, each arm is assigned an "optimistic reward estimate" within a certain confidence interval, e.g., 95%, and the arm with highest estimate is pulled [28].
The event C whereby the average length of the sampled inserts falls within a certain confidence interval is conditioned upon how many inserts actually comprise the sample, whereby from the Law of Total Probability [ 27] we find from which Eq. 8 follows directly.
Different from the method mentioned above and from the experimental point of view, the parameters of the model are always estimated by using the regression method with certain confidence intervals, which reveals that the parameters can exhibit random fluctuations to some extent.
Clamp biosimilarity is established when the results are within certain confidence intervals, namely, 80 125%.
For example, to be almost certain (95% confidence interval 0.96 1.00, maximum-likelihood estimate 1.00) that a positive result comes, at least in part, from DNA present before the experiment began, we need to analyze at least five samples and controls, even if all samples and no negative controls yield positive results.
A large number of tools for determining sample size, given certain input criteria (eg, confidence interval), are freely available on the internet (eg http://www.statpages.org/#Power, accessed May 2010).
In addition, the impact of risk factors (how much disease burden is caused by certain risk factors) was also presented using the population attributable risk percent (PAR%) with 95% confidence interval in certain conditions.
More precisely, we can determine a larger window by increasing the confidence of the interval in Eq. (10), i.e. by choosing the time step Δ such that for each m the maximal/minimal number of transitions of type R m lies in the interval with a certain confidence (e.g. with a confidence of 80%).
The proper training set is used for creating a prediction model and the calibration set is used for comparing new compounds to existing ones and to estimate sizes of intervals for a certain confidence level.
The low prevalence of certain risk genotypes are reflected in the large confidence interval for ORs obtained.
It is usually expressed as an interval of parameter values at a certain confidence level, say, 95%.
