Table 3.
Model | Fixed effects | Goodness of fit and Comparison* | ||||||
---|---|---|---|---|---|---|---|---|
Estimate | SE | t-value | Df | p-value | F | df1, df2 | P-value | |
Baseline model | ||||||||
Intercept | 0 | 0.13 | 0 | 105 | > 0.999 | |||
EMA model | ||||||||
Intercept | 0 | 0.11 | 0.00 | 104 | > 0.999 | 10.52 | 1, 172 | 0.001a |
Valence | −0.39 | 0.11 | −3.49 | 55 | 0.001 | |||
GPS model | ||||||||
Intercept | 0 | 0.12 | 0 | 104 | > 0.999 | 4.574751 | 1, 568 | 0.033a |
Variance | −0.21 | 0.10 | −2.15 | 81 | 0.035 | |||
Extended digital phenotyping model: GPS and wearable data | ||||||||
Intercept | 0 | 0.11 | 0.00 | 103 | > 0.999 | 5.23 | 1, 136 | 0.024b |
Variance | −0.21 | 0.10 | −2.17 | 78 | 0.033 | |||
Time in bed | 0.25 | 0.10 | 2.43 | 58 | 0.018 | |||
Combined model: EMA and digital phenotyping model | ||||||||
Intercept | 0 | 0.10 | 0.00 | 102 | > 0.999 | 11.47 | 1, 176 | 0.001c |
Variance | −0.21 | 0.09 | −2.32 | 72 | 0.023 | 5.42 | 2, 560 | 0.005d |
Time in bed | 0.24 | 0.09 | 2.54 | 59 | 0.014 | |||
Arousal | −0.38 | 0.10 | −3.61 | 52 | 0.001 |
For more details on the likelihood ratio test see chapter 5.3.1 in Van Buuren (66).
Comparison against baseline,
Comparison against GPS,
Comparison against extended sensing model,
Comparison against EMA model.