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Table 2 INCIDENCE measures, variable- oriented hypotheses

From: Analyzing repeated data collected by mobile phones and frequent text messages. An example of Low back pain measured weekly for 18 weeks

Research question Outcome Method of analysis Results from the model data set
All respondents, n = 244 Highly compliant respondents, answering 80% (≥15/18 weeks), n = 161
3A: Incidence during the full study period for the whole sample and for subgroups Recovery, i.e. reporting 0 or 1 pain days in 2 consecutive weeks = Event Time to event analysis, with Kaplan Meier curves. Log rank test for differences between groups Illustrated in Figure 2. Logrank test for effect of previous duration: p < 0.001 Logrank testfor effect of previous duration: p = 0.002
3B: Incidence for the full study period in relation to the selected predictive variables Recovery, i.e. reporting 0 or 1 pain days in 2 consecutive weeks = Event Time to event analysis with a) Cox proportional hazard regression or b) Discrete hazard regression Hazard ratio (HR) showing recovery, long duration reference, estimate and 95% CI: a) 1.95 (95% CI: 1.4-2.6), b) 2.03 (95% CI: 1.5-2.7). Hazard ratio (HR) showing recovery, long duration reference, estimate and 95% CI: a) 1.95 (95% CI: 1.4-2.6), b) 2.03 (95% CI: 1.5-2.7).
3 C: Time point for an event during the pain course The time point of change in the course of pain = Event Spline regressions, the event defined as the intersection of linear regression lines (the knot). Short duration: knot at 4.5 weeks Long duration: knot at 5.9 weeks Short duration: knot at 4.4 weeks Long duration: knot at 5.8 weeks