Exact(2)
Baseline data were calculated as medians and interquartile ranges (IQR) for continuous variables, and percentages for categorical variables.
All clinical baseline data were calculated as a mean of observations from the baseline year for each patient.
Similar(58)
Descriptive statistics, including frequencies and percentages for categorical data and means and standard deviations for continuous data, were calculated for the baseline data of the sample.
Monthly regional data were calculated from daily weather station data, using weighted averages by county households.
Data were calculated as Mean ± SEM.
Data were calculated as means ± SD.
A propensity score using the baseline clinical data was calculated to compare the three patient groups (M0, PM, LM).
All other data was calculated by Executive Compensation Advisory Services.
If adjusted data were not provided, and baseline data were reported, the effect sizes were calculated for the follow-up outcome data by adjusting for baseline differences [ 13].
To account for these uncertainties, in this study we decided to alter the way in which the baseline data assumptions were calculated.
The SDs of the composite measure in the population calculated with baseline data were used to interpret 0.088 of the detectable difference with an estimated intraclass correlation of about 0.3.
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