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The therapists spent a weekly mean of 7.3 minutes (SD = 5.2, range 0-24.5 0-24.5atient.
The final scoring algorithm therefore assigned each patient a weekly mean SOBDA score ranging from 1 4 with greater scores indicating more severe SOB with daily activities.
A weekly mean SOBDA score was then computed as the mean of the daily mean scores in a 7-day period, if at least 4 of7 days had non-missing SOBDA daily scores.
It consists of a single-item with an 11-point numerical rating scale, ranging from 0 (pain does not interfere with sleep) to 10 (pain completely interferes with sleep) that allows the calculation of a weekly mean sleep interference score [ 21- 23].
It was determined that the optimal method for scoring of the SOBDA was to use a weekly mean score (requiring data on at least 4 of the 7 days), based on the possibility that a patient may not conduct all daily activities each day.
The mean number of messages that the participants sent to and received from their therapist was 22.6 (SD=12.2, range 0 47) and 30.2 (SD=11.3, range 3 51), respectively, and the therapists spent a weekly mean of 10.3 min (SD=6.7, range 1.8 35.2) per participant.
Similar(54)
Similar results were obtained when a cumulative weekly temperature > 14°C or a mean weekly mean temperature were considered instead of mean weekly maximum temperature (Table 1).
An experiment was designed to test for a range of techniques whether they could detect a change in weekly mean emission rate from a herd of cattle, in response to a controlled change in feed supply.
These points are summarized in Figure 2, which compares the performance of all algorithms on a single scale and explores the sensitivity of results to the choice of function for determining PPC [reducing cases to weekly mean, (A) and (B), or weekly mean minus 1 SD, (C) and (D)] and the choice of window of effectiveness [8 weeks, (A) and (C); 24 weeks, (B) and (D)].
The estimated effect of a 1°C rise in weekly mean temperature on the incidence of P. vivax malaria in the ROK (17.7% increase; 95% CI: 16.9, 18.6%) was larger than the 11.8 15.8% increase estimated for the city of Jinan, China, which is also located in a temperate region (Zhang et al. 2010).
We also used a nonlinear function with a natural cubic spline for weekly mean temperature and weekly mean relative humidity.
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