BootstrappingtechniqueAbstractObjective: This study carefully evaluates the association of different respiration-related eventsto each other and to simple nocturnal features in obstructive sleep apnea---hypopnea syndrome(OSAS). The events include apneas, hypopneas, respiratory event-related arousals and snores.Methods: We conducted a statistical study on 158 adults who underwent polysomnographybetween July 2012 and May 2014. To monitor relevance, along with linear statistical strate-gies like analysis of variance and bootstrapping a correlation coefficient standard error, thenon-linear method of mutual information is also applied to illuminate vague results of lineartechniques.Results: Based on normalized mutual information weights (NMIW), indices of apnea are 1.3times more relevant to AHI values than those of hypopnea. NMIW for the number of blood oxy-gen desaturation below 95% is considerable (0.531). The next relevant feature is ‘‘respiratoryarousals index’’ with NMIW of 0.501. Snore indices (0.314), and BMI (0.203) take the nextplace. Based on NMIW values, snoring events are nearly one-third (29.9%) more dependent tohypopneas than RERAs.Conclusion: 1. The more sever the OSAS is, the more frequently the apneic events happen. 2.The association of snore with hypopnea/RERA revealed which is routinely ignored in regression-based OSAS modeling. 3. The statistical dependencies of oximetry features potentially canlead to home-based screening of OSAS. 4. Poor ESS-AHI relevance in the database under studyindicates its disability for the OSA diagnosis compared to oximetry. 5. Based on poor RERA-snore/ESS relevance, detailed history of the symptoms plus polysomnography is suggested foraccurate diagnosis of RERAs.

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