Table 2.
Binomial regression model for spindle likelihood in young subjects
| Estimate (β) | SE | Wald χ 2 | df | p | Odds ratio | 95% CI for odds ratio | |
|---|---|---|---|---|---|---|---|
| (Intercept) | −0.80 | 0.05 | 238.78 | 1.00 | <.001 | 0.45 | 0.41 to 0.50 |
| Lag | 0.03 | 0.07 | 0.23 | 1.00 | .633 | 1.03 | 0.91 to 1.17 |
| Cos | 0.12 | 0.06 | 3.91 | 1.00 | .048 | 1.12 | 1.00 to 1.28 |
| Sin | 0.18 | 0.06 | 8.36 | 1.00 | .004 | 1.20 | 1.07 to 1.37 |
The binomial regression model for spindle likelihood in young subjects demonstrates that both trigonometric components of the phase of stimulation (Cos and Sin) are the main factors driving the logistic regression. Lag: sleep spindle (SS) lag; Cos: click phase cosine; Sin: click phase sine. SE: Standard error, df: degrees of freedom for the Wald test statistic to be compared with the chi-square distribution. Values in bold are statistically significance at alpha = 0.05.