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Table 1 DESCRIPTIVE 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
1A: Crude outcome Total number of 1: days with pain from 18 weekly measures, 2: weeks reported Summaries. 1: Mean 33.0, Range 0 – 126 Short duration: Mean 24.5, Range 0-124 Long duration: 41.1, Range 0-126 2: Mean 15.2. Range 2-18 1: Mean 36.4. Range 0-126 Short duration: Mean 27.4, Range 0-124 Long duration: mean 45.4, Range 4-126 2: Mean 17.3, Range 15-18
1B: Difference in weekly outcome between groups Average number of pain days per week Student’s t-test Short duration: 1.6 Long duration: 2.8 p < 0.001 Short duration: 1.6 Long duration: 2.6 p < 0.001
2A: Proportion with different levels of the condition Incidence of recovered = reporting 0 pain days week by week Proportion, i.e. percentage of subjects who are recovered compared to those who are not Illustrated in Figure 1a Proportions recovered week 8: Short duration: 58.6% Long duration: 30.7% OR = 3.19 (1.88 – 5.72) RR = 1.8 (1.62 – 1.93) Long duration reference category Illustrated in Figure 1b Proportions recovered week 8: Short duration: 58.3% Long duration: 32.5% OR = 2.91 (1.50 – 5.65) RR = 1.66 (1.51 – 1.83) Long duration reference category
2B: Incidence at a prespecified time point Proportion of patients recovered = reporting 0 or 1 pain days at the chosen time, e.g. the 5th week Logistic regression (or other generalised linear regression models) Short duration: 58.7% Long duration: 27.7% OR = 3.71 (2.1-6.6) RR = 1.75 (1.4 – 2.3) Long duration reference category Short duration: 58.2% Long duration: 28.0% OR = 3.58 (1.8 - 7.0) RR = 1.72 (1.34 – 2.3) Long duration reference category