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Based on whether the data were normally distributed and the number of tested groups for comparison, the levels of significance were determined by appropriate statistical analysis.
The second-order polynomial equations were analyzed by appropriate statistical methods.
The proposed method addresses the two aforementioned issues by direct incorporation of the censoring mechanism and by appropriate statistical adjustment for multiplicity.
Reliability and construct validity were tested by appropriate statistical analyses.
The data linkages were done by appropriate statistical authorities as required by Finnish data protection legislation.
All possible pairs of variables were tested for associations by appropriate statistical tests.
Methodological aspects concern the identification of homogeneous material which can be combined by appropriate statistical procedures.
Then, relevant features are extracted from the resulting wavelet subbands by resorting to appropriate statistical models.
Where indicated by the research question, variables were cross-tabulated and hypotheses tested by applying appropriate statistical tests.
The response data collected thereby were analyzed by using appropriate statistical methods.
However, by applying appropriate statistical methods for recurrent events we can make valid inferences on rates.
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