Appendix Table 2.
Sensitivity Analysis for Difference in Mean Daily Steps During the Intervention and Follow-up
| Group Comparison, by Model* | Intervention (wk 1–13) | Follow-up (wk 14–26) | ||
|---|---|---|---|---|
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| Difference in Daily Steps (95% CI) | P Value | Difference in Daily Steps (95% CI) | P Value | |
| Main model: pseudolikelihood approach | ||||
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| Gain incentive vs. control | 378 (−499 to 1254) | 0.40 | 74 (−801 to 950) | 0.87 |
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| Lottery incentive vs. control | 248 (−644 to 1139) | 0.59 | −55 (−943 to 833) | 0.90 |
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| Loss incentive vs. control | 861 (−20 to 1743) | 0.056 | 496 (−371 to 1363) | 0.26 |
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| Main model: quadrature approach | ||||
| Gain incentive vs. control | 397 (−482 to 1275) | 0.38 | 73 (−790 to 935) | 0.87 |
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| Lottery incentive vs. control | 276 (−618 to 1170) | 0.55 | −56 (−932 to 819) | 0.90 |
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| Loss incentive vs. control | 879 (−5 to 1763) | 0.05 | 497 (−357 to 1351) | 0.25 |
*
Approach refers to the regression estimation method used with PROC GLIMMIX in SAS, version 9.4 (SAS Institute). Pseudolikelihood approach used METHOD=RSPL; quadrature approach used METHOD=QUAD(qpoints=12).