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The calculation of the sample size is shown below.
The length of the observed signals affects the calculation of the sample covariance matrix in (42) [51].
The most important limit of this study is the number of participants that concluded it, as the sample size determined by the calculation of the sample had not been reached.
The assumptions for the calculation of the sample needed to test the primary end point were: a beta error of 20%%, an alpha error of 5, 50 % of responders in the experimental group and 10%% of responders in the placebo group.
The calculation of the sample has been performed with the Granmo 5.2 computer programme for Windows.
The calculation of the sample size was based on a power analysis.
The calculation of the sample was performed with the Granmo 5.2 computer program for Windows.
Having discussed the prior considerations, we can concentrate on the calculation of the sample size necessary for the study.
For the calculation of the sample size we therefore focused on sensitivity as the most important primary objective.
Nevertheless, this disadvantage was offset by including the design effect into the calculation of the sample size.
Similar(1)
The calculation of the samples size, with α=0.05 and 1-β=0.8 were based on the following assumptions: risk of one year mortality or cardiovascular events of 20% with the follow up in the network allowing to decrease this risk to 5%.
More suggestions(16)
the derivation of the sample
the calculation of the survey
the estimate of the sample
the computation of the sample
the calculation of the cross section
the calculation of the random
the selectivity of the sample
the calculation of the response
the calculation of the core
the calculation of the motion
the profile of the sample
the calculation of the number
the calculation of the slope
the calculation of the stalling
the calculation of the collision
the volume of the sample
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