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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