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The above framework for the unwinding mechanism is analyzed using the methodology described in Arunajadai [6] which employs methods pertaining to the following two areas of statistics: 1. 79Change Point Problems: Consider a random process where certain distributional characteristic of the process (for example, the mean) changes at certain points in time.
However, mean changes at intermediate visits approached zero, while mean changes at the last 2 visits were positive (weight gain).
Mean changes in weight at early visits were negative (weight loss), mean changes at intermediate visits were near zero, while mean changes at later visits were positive (weight gain).
Mean changes at endpoint in blood pressure and body weight were less than 2.0 mm Hg, and -0.1 kg, respectively.
Mean changes at endpoint in MFI scale ratings in patients who had a dose escalation are summarized in Table 3.
Table 2 also shows mean changes at 1 year expressed as a percentage of the baseline value.
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The problem of a mean change at an unknown location in a sequence of observations has received considerable attention in the literature.
The geometric mean change at month 12 was a decrease of 0.56 ng/mL (SD 10.91 ng/mL).
The mean ADL score increased to 19.79 (6.16) at three months and 20.27 (6.07) at six months (mean change at 6 months 1.7, std. dev. 3.9).
Mean ADL score increased to 15.63 (SD 7.40) at three months and 16.16 (SD 7.37) at six months (mean change at 6 months 1.8, std. dev. 4.4).
Post treatment, this continued with no evidence of a difference between treatments at 30 60 months (mean change at 60m: -0.57 points, 95% CI: −3.30, 2.16; P=0.68).
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